Squarepoint Capital is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity. Position Overview: Squarepoint is seeking talented, curious, and self‑driven&nbsp;graduate‑level candidates&nbsp;who are eager to apply strong quantitative and computational foundations in a challenging and innovative environment at the intersection of technology and investment research. &nbsp; As a Graduate Quant Developer, you will work on the front line of our quantitative research business, collaborating closely with quantitative researchers and technologists to design, build, and maintain scalable, production‑grade systems that directly support alpha generation and investment decision‑making. This role is designed to support early‑career growth through hands‑on development, close collaboration, and continuous learning in a highly collegiate, high‑performance environment. &nbsp; Role and Responsibilities Apply quantitative reasoning and software engineering skills to support investment research and trading Learn to translate business and research requirements into scalable, maintainable data processing workflows Work closely with quantitative researchers to design and implement efficient workflows for alpha generation Contribute to data‑driven analytics and tooling across a wide range of asset classes Develop, extend, and maintain libraries, tools, and frameworks used by researchers and traders globally Collaborate closely with peers across our global Investment and Technology departments Gradually take ownership of technical components and contribute ideas and solutions with direct commercial impact Required Qualifications Degree in a quantitative discipline&nbsp;(e.g. Mathematics, Physics, Engineering, Computer Science, or similar)&nbsp;with a strong interest in computational and software‑driven problem solving Proficiency in at least one of our core languages:&nbsp;Python, C++, or KDB+/q Prior exposure to software development in a commercial, academic, or research environment, evidenced through internships, academic projects, work experience, or personal projects Familiarity with Linux and version control systems (e.g. git) Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows Clear written and verbal communication skills Strong curiosity, motivation to learn, and willingness to develop new skills Ability to work effectively in a fast‑paced, collaborative team environment Nice to Have Proficiency in more than one of our core programming languages Exposure to quantitative finance, trading, or financial markets through coursework, projects, or internships Previous experience in a financial services or technology‑driven environment Hands‑on experience using git and Linux in team‑based or academic projects &nbsp; &nbsp;

Graduate Quant Developer

Position Overview: Support end to end of preparation of necessary returns prepared by third party providers (eg VAT, GST, sales tax, EU sales lists etc) to ensure compliance with reporting and collection obligations in all jurisdictions. Perform GL reconciliation and resolve discrepancies Improve current systems used for indirect tax reporting to reduce the time spent on return preparation, strengthen controls and ensure readiness for future developments (eg e-invoicing and real time digital reporting) Work with our Corporate IT Applications Team to build systems across the group to support reporting in connection to commodities trading, new instruments or entry to new geographical markets. Work with local advisors where appropriate to provide tax advice on miscellaneous matters Assist with the provision advisory services to front office colleagues trading commodities and other assets so they understand the commercial impact and compliance requirements of all taxes in the supply chain across multiple jurisdictions (eg customs duties, import VAT, VAT/GST and sales taxes and withholding taxes). Ensure contracts adequately deal with these taxes to minimize risk to the firm.&nbsp; Required Qualifications: At least 3 years of relevant tax experience within a Professional Services firm and experience of working in an-house tax team. Knowledge of Workday or Commodities preferred Relevant recognized qualification (ACA, CTA, or equivalent) Detail oriented and strong technical proficiency with MS Excel Process improvement focused Strong technical proficiency with MS Excel Ability to multi-task as well as meet deadlines &nbsp; &nbsp;

Indirect Tax Analyst (FTC)

Position Overview: Support the desk in building supply&nbsp;and demand models across various agricultural commodities Support in the buildout of new analytical models, and processes to improve efficiency based on commodities fundamental best practices. Produce ad hoc analysis based on short-term market developments as request by the desk to support commodities trade ideas. Take ownership of desk's data flows, including onboarding new datasets or issues being faced Run and maintain processes related to fundamental data operations Work with different teams to capture cross-desk synergies (equity mapping) and improve systematic reporting (callouts) of information flow Ad-hoc desk support regarding organization or technical assistance&nbsp; Typical Day: Check all models/visualisations are working as expected and check for any issues in data. Organise team confluence pages to ensure all information is up to date. Produce any ad-hoc analysis that traders/analysts may require Work on various long-term projects to build market-leading analytical models. &nbsp;Required Qualifications:&nbsp; Advanced degrees (MSc preferred) in Mathematics/Statistics or Quantitative Finance. Experience in quantitative research – ideally through prior internship experience or in a related position, in particular in commodities trading. Experience in highly quantitative trading asset classes (power in particular) and systematic trading is a plus Coding skill in Python is required and ease with Excel/VBA is a plus. Demonstrate passion for both investing and trends in commodities markets. Excellent writing skills and ability to quickly synthesize thoughts and organize information. Openness to tackle any project or task that is required. Strong communication skills and ability to work well with colleagues across multiple teams and regions. &nbsp;

Junior Commodities Fundamental LNG Analyst

Position Overview: The Senior Benefits Specialist will be based in our growing Bangalore office and report to the Global Benefits Manager. They will provide support to all offices in the region and be part of the Global HR team. We’re looking for a detail-oriented candidate to own day-to-day Benefits processing and enhancements of our Benefits programs across the APAC region, consisting of India, Singapore, Hong Kong, Dubai, Shanghai &amp; Australia plus any new jurisdictions that are launched while contributing to global projects as and when required. The ideal candidate will also bring great analytical skills, stakeholder responsiveness in a people first focused team. They must be able to manage regular conflicting priorities, prioritize that work and have the ability to plan and track projects. Benefits Support: End‑to‑end benefits management for APAC which will include, but not limited to, Retirement, Healthcare, Vision, Dental, family planning and other benefits key to attract and retain talent. Be Integral in the year end support that will be needed to ensure the Internal HR/Payroll/Tax teams will have the information they need. Tax and statutory compliance working knowledge and willingness to learn and develop their knowledge to support the Global Benefits Manager and wider Global Benefits team. Vendor coordination with Global brokers to ensure files are changed on time, queries are dealt with promptly and appropriate follow through is managed. Set clear timelines and plans for renewals promptly. Any issue triage needed with the internal HRIS team and further investigations. Support for other country Benefits as and when needed/required. Manage the Benefits email inbox coordinating items for Global team and ensuring matters related to APAC are responded to within agreed to SLAs. File, organize and archive electronic documentation for Compliance and audit readiness. Projects and Special considerations: Support with any Global Benefits transformation project documentation and Project Tracker updates Support in all Statutory and internal/external audit documentation and information gathering. Partnership with HR/HRIS/Legal &amp; Payroll is key to ensuring accuracy of data and good quality relationships to ensure smooth flow of work. Research the latest information and communication that information to support with having a continuous improvement mindset within the team. Preparation of data for systems integrations and any benefit interfaces. Manage and continual review of processes, the process notes, procedure documents, policies, etc. Participate in global projects where needed. Any other tasks assigned by Benefits leadership. Required Qualifications: Degree or sufficient work experience with a minimum of 3-5 years’ Benefits or HR related benefits experience required Experience with Workday highly preferred Strong prioritization and time management skills. Self-motivated and disciplined individual with great analytical skills. Effective communication, relationship-building, and responsiveness to stakeholders are vital Excellent written and verbal skills, including strong presentation skills. Proficiency with Microsoft Excel and other office suite products. &nbsp; &nbsp;

Senior Benefits Specialist - APAC

Position Overview:&nbsp; The Payroll Specialist will be based in our growing Montreal office and report to the Global Payroll Manager. They will provide support to all offices in the region and be part of the global HR team.&nbsp;We’re looking for a detail-oriented candidate to own the day-to-day payroll processing across the U.S., Canada plus any new AMER jurisdictions that are launched while contributing to global payroll projects as and when required.&nbsp;The ideal candidate will also bring great analytical skills, stakeholder responsiveness in a people first focused team. They must be able to manage regular conflicting priorities, prioritize that work and have the ability to plan and track projects. Payroll Support: End‑to‑end payroll processing for all AMER This will include, but is not limited to, onboarding, offboarding and payroll changes across weekly/biweekly/semi‑monthly cycles (imports, validations, corrections, retro’s, approvals, confirmations, funding and filing). Be integral in the year end preparation to ensure that Internal Tax/Finance teams have the required information they need to close out year-end sufficiently. Tax and statutory compliance working knowledge and willingness to learn and develop their knowledge to support the Global Payroll Manager and wider Global Payroll team. Vendor coordination with ADP or any other Payroll vendors to ensure files are changed on time, queries are dealt with promptly and appropriate follow through is managed. Any triage needed with internal HRIS team and further investigations. Support for other Global payrolls as and when needed/required. Manage the Payroll email inbox coordinating items for Global team and ensuring matters related to AMER are responded to within agreed to SLAs. File, organize and archive electronic documentation for Compliance and audit readiness. Projects and Special considerations: Support with the Global Payroll transformation project documentation and Project Tracker updates Support in all Statutory and internal/external audit documentation and information gathering. Partnership with HR/HRIS/Legal/Benefits and Finance is key to ensuring accuracy of data and good quality relationships to ensure smooth flow of work. Research the latest information and communicating that information to support with having a continuous improvement mindset within the team. Preparation and auditing of data for systems integrations and any payroll interfaces. Manage and continual review of processes, the process notes and mapping, procedure documents, policies, etc. Participate in global projects where needed. Any other tasks assigned by payroll leadership. Required Qualifications: Degree or sufficient work experience with a minimum of 2 years’ Payroll experience required Experience with Workday &amp; ADP Workforce Now highly preferred Strong prioritization and time management skills. Self-motivated and disciplined individual with advanced analytical skills. Effective communication, relationship-building, and responsiveness to stakeholders are vital Excellent written and verbal skills, including strong presentation skills. Proficiency with Microsoft Excel and other office suite products. &nbsp; &nbsp;

Payroll Specialist

Position Overview As part of the Production Control Group Automation (PCGA), you will design and develop automation solutions to support production operations. This will involve creating dashboards/UI, test frameworks for functional tests, order-sending for pilot trading, AI/LLM-driven solutions along with other automation tools to improve observability, reliability and streamline the production control processes. &nbsp; Required Qualifications: Bachelor’s or Master's degree in Computer Science, Engineering, Physics or Mathematics. 2-5 years of experience in software engineering with hands-on experience in software development, tooling &amp; automation Proficiency in Python in a Linux-based environment. Experience with UI/UX frameworks and best practices. Eagerness to continuously learn new technologies and develop with us. Strong analytical, organizational, and interpersonal skills. Ability to work well in a fast-paced environment &nbsp; Nice to have: Experience in the Capital Markets domain and Funds management. Knowledge of C++ and kdb+/q Experience with CI/CD practices. Understanding of AI/LLM (tokené&amp;ization, prompts, etc.), frameworks (OpenAI, LangChain, etc.) and tools (vector db, RAG pipelines)

PCG Automation Developer (Python)

Squarepoint Services US LLC seeks a Quantitative Researcher, Commodities for its New York, New York location. Duties: On behalf of an investment management firm, formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies in the commodities asset class. Produce ad hoc analysis based on short-term market developments as requested by the desk to support trade ideas. During the trading day, perform ad-hoc analysis on topics linked with current trade opportunities. Monitor inputs and outputs of the desk’s fundamental models to ensure model results are always to industry-leading standards. Monitor the skill of the fundamental models against realization. Support and follow trade ideas proposed by traders, carrying out fundamental risk modeling of existing positions. Originate fundamental trade ideas and recommendations. Must have a minimum of a Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study and 1 year of experience as a Graduate Quantitative Researcher or related position for an investment/asset management organization. Must have at least one (1) year of employment experience with each of the following required skills: 1. Modeling North American natural gas supply chains and physical pipelines 2. Knowledge of weather data for US natural gas trading. 3. Financial Markets modeling 4. Coding in Python. 5. Researching, analyzing, and modeling data in conjunction with machine learning. 6. Understand and translate complex models from Excel to Python. Salary / Rate Minimum/yr: $150,000 Salary / Rate Maximum/yr: $215,000. 40 hrs/wk. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer.

Quantitative Researcher - Commodities

Squarepoint Services US LLC seeks a Senior Quantitative Researcher - Portfolio Construction and Trading for its New York, New York location. Duties: Perform quantitative analyses to formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on equities or other asset classes. Produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects. Perform validation and testing of trading simulations and reformulate applications using C++, Python, and Object Orientation design methods. Build applications utilizing Shell and Python to automate daily data dependency processing for trading strategies. Utilize KDB/Q and Python to analyze existing strategy behavior and propose improvements. Conduct research on futures, FX, government bond intraday trading strategies and on portfolio construction and market impact. Maintain and enhance framework for trade scheduling across various asset classes including futures, FX, fixed-income, CDX and cryptocurrency. Monitor market impact and cross-impact dynamics for large-scale portfolios. Develop innovative approaches for optimization and monetization of intraday trading strategies Requirements: Must have a minimum of a Master’s degree or foreign equivalent in Mathematics, Finance, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, Physics or related field of study and 3 years of experience as Quantitative Researcher, Research Associate, Quantitative Analyst or related position for an investment/asset management organization. Must have at least three (3) years of employment experience with each of the following required skills: Coding in KDB, Python and C++; Systematic trading in fixed income, futures and equities; Market Impact Modeling; Time series analysis ; Microstructure feeds ; Machine Learning. Salary / Rate Minimum/yr: $190,000 Salary / Rate Maximum/yr: $220,000 40 hr/wk. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer.

Senior Quantitative Researcher, Portfolio Construction and Trading

Squarepoint Services US LLC seeks a Systems Specialist for its New York, New York location. &nbsp; Duties: Manage the companies’ HPC Slurm clusters, scheduling and configuration. Deploy Prometheus and Grafana Metrics for real-time monitoring. Manage Python/Pandas and kdb/q data analysis for reporting to stakeholders and management efficiency of code, use of hardware. Deploy bespoke plugins in C to improve features for users. Deal with support issues within user code and optimize workloads for hardware. Optimize Nvidia GPU configuration for multi-node machine learning models. &nbsp; Requirements: Must have a minimum of a Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a HPC Engineer, Systems Engineer/Specialist, Site Reliability Engineer, or related position for an investment/asset management organization.&nbsp; Will also accept a Bachelor’s degree or foreign equivalent in the above disciplines and 5 years of progressive, post-baccalaureate experience as stated above. Must have at least two (2) years of employment experience with each of the following required skills: Deploying Slurm Clusters and optimizing scheduling of high throughput workloads; Debugging system problems and optimizing kernels in Linux;&nbsp; Data analysis in Python – Pandas; Working with Nvidia GPUs, optimizing workloads for hardware and networking stacks; Using KDB/Q for data analysis and debugging user workflows; Live monitoring of clusters using Prometheus and Grafana. &nbsp; Salary / Rate Minimum/yr: $200,000 Salary / Rate Maximum/yr: $250000 &nbsp; 40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate.&nbsp; It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer. &nbsp; &nbsp;

Systems Specialist

Team: Information Security&nbsp; Position Overview: Squarepoint is seeking a subject matter expert to join our Information Security team as a Senior Information Security Engineer. This senior position plays a pivotal role in strengthening our security posture by providing expert guidance, and driving improvements across key areas such as network, cloud, data, and system security. The successful candidate will act as an escalation point to the Security Operations, ensuring complex security problems are effectively analysed and resolved. This role includes overseeing security in critical IT projects, leading threat modelling for complex systems, auditing key systems for security gaps, and building automated capabilities to continuously validate controls’ effectiveness and system resilience. This position offers an opportunity to lead security initiatives and shape the security roadmap. A high degree of self-motivation and proactivity is mandatory for success in this role. Strengthen security across core areas, including network and system security, email security, cloud security, and data protection. Serve as a security advisor for IT projects, ensuring security requirements are met and risks are mitigated. Manage and optimize security tools, ensuring they are effectively deployed and maintained. Lead the design and development of security solutions and architectures to protect critical assets. Provide second-line support to Security Operations. Conduct threat modelling and risk assessments to identify vulnerabilities and drive proactive mitigation strategies. Oversee relationships with the Managed Detection and Response (MDR) provider, ensuring service effectiveness and continuous improvement. Execute security roadmap’s initiatives, aligning with business objectives and emerging threats. Collaborate with cross-functional teams to enhance security awareness and integrate security into business processes. Required Qualifications: Minimum 5 years of hands-on experience in an information security role, such as security engineering, security architecture, security operations, or application security. Thorough understanding of security best-practices, principles, and system hardening techniques. Hands-on experience with threat modelling, security testing, including penetration testing, and automated security validation. Solid knowledge of cloud, network, and systems security concepts. Experience with scripting with one or more languages – Python and PowerShell experience is a plus. Familiarity with security tools such as EDR software, DLP solutions, vulnerability scanners, firewalls and email gateways. Strong analytical skills and problem-solving skills, with the ability to investigate complex problems and design pragmatic solutions. Effective communication skills to work with technical and non-technical teams. Degree in Engineering, Computer Science, or STEM related field. Nice to have: Strong knowledge of risk assessment methodologies. Familiarity with security best practices, configurations, and threat management in Azure, AWS, and GCP. Ability to analyse software for security risks, including reviewing source code, performing static and dynamic analysis, and identifying vulnerabilities in application design and implementation. Familiarity with regulatory frameworks and security standards (e.g., SEC Cybersecurity rules, MAS TRM Guidelines, NFA Cybersecurity Guidance, GDPR etc.) Relevant security certifications. &nbsp; &nbsp;

Senior Information Security Engineer

Position Overview The Data Engineering team is responsible for ingesting vast quantities of data into Squarepoint. Our team works closely with stakeholders as well business as data vendors to deliver quality data for production and research purposes. As a successful Data Development Integrator, you will occupy a key role. You will: Own vendor management for the Data Engineering team. This will involve continuous interaction with the Data Onboarding team and vendors to understand incoming data ingestion projects, planned vendor changes, and business priorities. Drive Data Engineering triage. You will work on scoping and validating new initiatives, in addition to allocating them to the right implementation teams through the triage process. Foster collaboration within Data Engineering. You will build close relationships with global Data Engineering leads and their business stakeholders, to drive efficient collaboration through a deep understanding of the people, problems, and processes involved. Increase data quality through lifecycle management of vendor datasets. You will be in charge of implementing technical requirements that do not need any code change but can be delivered via configuration. Alternatively, you would work with data engineers for more complex changes. Required Qualifications: Bachelor’s degree in business, engineering or related subject 5+ years of experience Strong verbal and written communication Strong analytical, organizational, and interpersonal skills Good understanding of software/hardware concepts, software development life cycle and processes around them Experience with the Atlassian stack (JIRA, Confluence) and git (Gitlab) Nice to haves: Experience working with data vendors, trading exchanges or similar Working knowledge of a scripting language like Python Working knowledge of data transfer protocols (SFTP, S3, HTTP) and databases &nbsp; &nbsp;

Software Developer - Data Development Integrator

Position Overview: Assist more senior members of the team with the review and negotiation of legal documentation for early to late-stage venture capital and closed-ended fund investments. Coordinate corporate transactions (such as intercompany funding and agreements, dividend distributions, employee share schemes, the audit cycle and LP admissions), including drafting board resolutions, corporate authorisations and other ancillary documents. Assist with corporate restructurings and admissions/removals of partners in certain Squarepoint entities. Assist more senior team members with managing seed deals. Manage the set-up of new entities required for corporate purposes, including drafting constitutional documents and other operative agreements. Assist with project management, including drafting and maintaining transaction management plans, liaising with other internal teams and handling signings/closings. Interacting with local counsels in all jurisdictions to ensure compliance with all ongoing filing and statutory requirements. Coordinate and liaise with external directors and other internal departments, including COO office, finance, compliance, operations, tax and HR. Assist with ad-hoc maintenance matters (audit, tax, KYC requests etc.). There is no typical day for this Legal Counsel. The role’s duties will be varied and will include a mix of corporate governance, M&amp;A and investments work, as well as involvement on ad hoc matters as necessary. The working environment is multi-disciplinary, collaborative and non-hierarchical. The successful candidate will be required to (a) take ownership of matters and (b) work closely with other teams (also located in different jurisdictions) and senior management.The Legal Counsel will report to a more senior member of the legal team. Required Qualifications:&nbsp; ± 2 years PQE (or US equivalent). Previous experience/training in a top-tier transaction firm. Previous experience in a wide range of corporate work and willingness to broaden skill set. Enthusiasm for a variety of legal areas. Excellent attention to detail. Pro-active and ability to think outside-the-box in order to provide solutions. Strong interpersonal, organisational and communication (both written and verbal) skills. Ability to work well with colleagues across multiple regions and time zones. Capacity to prioritise, manage multiple tasks and work within tight deadlines. Willingness to support a growing team based in different jurisdictions on a broad range of matters. &nbsp;

Legal Counsel - Corporate

Position Overview: Invoice Ingestion: Scan and validate invoices received by email, resolve errors, and escalate technology issues as required within SLAs. High-Volume Processing: Process large volume of invoices in multiple languages via Concur Invoice for proper approval, amount, allocation code and expense methodology (prepaid, expense, accruals, etc) in line with SLAs. Invoice Compliance: Review and validate invoices to meet global standards and local government regulations, addressing tax discrepancies and coordinating with vendors for necessary revisions before processing. Account Reconciliation: Reconcile vendor accounts, analyse discrepancies, and resolve issues with vendors and business users. Supplier Management: Manage the end-to-end supplier lifecycle process, including onboarding, contract management, and offboarding. Month-End Closing: Support activities to meet internal SLAs, ensuring all invoices are reviewed and actioned prior to closing. Payment Handling: Experience performing treasury operations, preparing settlement runs and troubleshooting errors. Automation &amp; Efficiency: Embrace technology to enhance automation, optimise workflows, and improve the Contract-to-Pay process. Query Resolution: Handle vendor and internal enquiries promptly, including addressing payment issues, reversals, and approvals. Workflow Optimisation: Streamline processes for invoice processing, purchase order matching, and approval workflows. Professional Collaboration: Maintain professionalism in interactions with Accounts Payable, Finance teams, Procurement and Technology teams, and other stakeholders. Team Engagement: Participate in team meetings and training, applying Accounts Payable concepts to daily tasks. Issue Analysis: Perform root-cause analysis and effectively deliver solutions to stakeholders, vendors, and management. Ad-Hoc Projects: Meet deadlines for accounting tasks, specific projects, and month/year-end activities. Required Qualifications: A Bachelor’s degree in accounting, finance, or a related field, or equivalent experience. Proven invoice processing knowledge. A minimum of 3 years of previous work experience within Accounts Payable. Excellent time management and organisational skills. Excellent verbal and written communication skills. The ability to cooperate and collaborate effectively with colleagues. Thorough attention to detail, performing all work with high levels of accuracy. Experience with an ERP. Knowledge of basic financial and accounting terminology. Please note: we use years of experience as a guide, but we will certainly consider applications from all candidates who can demonstrate the skills necessary for the role. Nice to have: Knowledge of Workday Experience with and implementing automated invoice ingestion/processing channels (e.g. EDI, PO Match, ERS, PO Plan, Recurring Payments, Contract to Pay flip). Experience collaborating on enterprise-wide initiatives. Advanced excel skills to develop AP reporting &nbsp; &nbsp; &nbsp;

Accounts Payable Finance Analyst

&nbsp; Position Overview Squarepoint is seeking an experienced Identity and Access Management (IAM) Engineer with ideally 5+ years of hands‑on experience designing and implementing complex identity solutions. This role is focused on the maturation of IAM capabilities across the firm, enabling innovation and agility, while maintaining strong security foundations. Working with a diverse group of stakeholders, spanning developers, researchers and infrastructure teams, the candidate will act as a bridge between security and engineering, translating security strategy into practical, scalable technical solutions. A high degree of motivation and proactivity, with a deep, low‑level understanding of modern IAM technologies and protocols, is essential in this position. This is a hands‑on engineering role, requiring the ability to design and build identity platforms rather than solely define policy or oversight. The candidate must demonstrate deep technical expertise while also being able to contribute across multiple security domains, collaborating effectively with engineering teams to solve complex problems and clearly articulate risks, trade‑offs, and mitigations to stakeholders at all levels of the organisation. Main Duties &amp; Responsibilities: Design and implement Identity and Access Management (IAM) platforms, with a strong focus on scalability, resilience and security by design. Deliver: Secrets management solutions for applications, services, and infrastructure, ensuring secure storage, rotation, access control and auditability. User‑to‑service and service‑to‑service authentication systems, using modern, standards‑based approaches. Standards‑compliant identity providers and federation services (e.g. OAuth 2.0, OpenID Connect, SAML), enabling consistent and secure identity integration across the firm. Authorisation systems, including fine‑grained and policy‑based access control models, to support least‑privilege and zero‑trust principles. Promote IAM standards, reference architectures and reusable patterns, enabling development and infrastructure teams to adopt secure identity practices with minimal friction. Translate complex identity and security risks into clear, actionable technical requirements and guidance for engineering teams. Mature IAM capabilities across the firm, continuously identifying gaps, driving improvements, and aligning solutions with evolving business and technology needs. Contribute across multiple security domains (e.g. application security, cloud security, platform security) where identity intersects with broader security controls. Required Qualifications: 5+ years of hands-on experience in IAM or security engineering with a strong focus on building and operating identity platforms in production environments. Recent experience implementing secrets management, authentication systems and authorisation systems using modern, standards‑based approaches. Understanding IAM architectures and security design principles, with the ability to assess trade‑offs and design pragmatic, scalable solutions. Understanding modern IAM technologies, protocols and low‑level mechanics, with the ability to troubleshoot complex identity flows. Strong experience of security best practices, common attack vectors, and identity‑related threats across applications, platforms and cloud environments. Systems knowledge, including Linux/Unix environments, networking fundamentals, Kubernetes/container platforms, and cloud security concepts. Ability to translate complex identity and security risks into clear, actionable technical guidance for a broad range of stakeholders. Ability to read and write Python. Degree in Engineering, Computer Science, or STEM related field. Nice to Have: Experience with infrastructure‑as‑code and security‑as‑code tooling (e.g. Terraform, Ansible), particularly for IAM, secrets management, and policy enforcement. Advanced coding skills in multiple major languages. Prior experience in high‑performance, research‑driven, or low‑latency engineering environments, where pragmatic security trade‑offs are required. &nbsp;

Identity and Access Management (IAM) Engineer

Position Overview: Research and identify new modellings for the portfolio optimizations problems encountered by the traders. Propose and implement modification to the existing tools. Develop a strong understanding of strategy needs for optimization. &nbsp;Typical Day of Quantitative Researcher: Primary focus throughout the day is working with traders and portfolio managers to refine their portfolio construction needs. Review various reports of existing tools and optimization problems. Explore new methods, new software and new ideas to improve our current setup. &nbsp;Required Qualifications:&nbsp; Ph.D. degree in Optimization, Numerical Computing or Scientific Computing Strong technical profiles with other relevant Ph.D. degree in Physics, Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research can be considered 1 - 5 years of working experience from financial industry Programming proficiency with at least one major programming language (e.g. C++, Java) Strong communication skills and ability to work well with colleagues across multiple regions Pragmatic approach, open minded and creative Ability to work well under pressure &nbsp;

Quant Researcher - Convex Optimization

&nbsp; Squarepoint Services US LLC seeks a Quantitative Researcher - Equity for its New York, New York location. &nbsp; Duties: Formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on equities or other asset classes. Produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects.&nbsp; Perform validation and testing of both trading simulations and critical trading applications and build applications utilizing Shell and Python to automate daily data dependency processing for trading strategies. Utilize KDB/Q and Python to analyze existing strategy behavior and propose and implement improvements.&nbsp; Utilize Excel/VBA mathematical models and KDB analysis tools to track market history of specific asset classes to evaluate future profit potentials and risk margins. Manage live trading automatons and perform continuous monitoring of risk related to live trading automatons. Leverage on asset-class-specific experience to find new patterns in market data and explore new methods to optimize execution costs.&nbsp; Utilize extensive knowledge of market structure and statistical arbitrage to improve on existing trading strategies and develop new trading strategies. Assist team’s senior quantitative researcher’s efforts in building, validating, releasing, and maintaining highly complex automated trading models. Pilot research projects spanning multiple teams across multiple regions to develop new mathematical models and analytical tools for critical investment decision making. &nbsp; Requirements: Must have a minimum of a Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study, Economics or related and 1 year of experience as a Graduate Quantitative Researcher, Investment Process Associate, or related position for an investment/asset management organization. Must have at least one (1) year of employment experience with each of the following required skills: Use computer programs Python, KDB/Q, and BigQuery to collect, clean and process large un-structed data from various sources.&nbsp; Write Python scripts to implement numerical optimization routines, to visualize data, write KDB database queries to verify and clean real time data. Use Machine Learning methods to identify patterns and trends in large datasets, and to create models to automatically predict such trends.&nbsp; Implement optimization methods to assist business decision making. Use Big data analysis framework to analyze dozens of Terabytes of data and develop internal business software to visualize data in a friendly manner. Develop time series forecasting model and improve model accuracy&nbsp; Salary / Rate Minimum/yr: $160,000 Salary / Rate Maximum/yr: $250,000 &nbsp; 40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate.&nbsp; It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer. &nbsp; &nbsp;

Quantitative Researcher - Equity

&nbsp; Squarepoint Services US LLC seeks a full-time Quantitative Researcher, Investment/CTA Fixed Income for its New York, NY location. &nbsp; Duties: On behalf of an investment management organization, conduct research on systematic trading strategies to trade securities in global fixed income markets. Empirically analyze the global financial data to identify systematic trading ideas. Use statistical and econometric modeling methods to quantitatively build predictive models for market movement forecasts and security trading. Conduct analysis on the trading ideas models using quantitative and statistical tools. Conduct backtesting and assess the trading strategies under realistic market assumptions. Work with engineers to implement the trading strategies in production. Apply programming skills in python to conduct research, analyze data, and develop models. Contribute to the analytics and simulation platform by developing research and portfolio construction tools. Use version control tools like Git, Unix/Linux for development. Monitor the production process. &nbsp; Requirements: Minimum of Master’s degree, or foreign equivalent, in Science, Technology, Engineering, and or Mathematics (STEM), Finance, Economics or related field of study and at least two (2) years of experience as a Quantitative Researcher, Associate or related occupation for a financial /investment management/investment banking organization. Must have experience with: 1. New signal and strategy research and new dataset analysis by applying statistical inference and regression. 2. Evaluating risk and performance of interest rate swaps as research groundwork. 3. Dataset analysis and parameter selection using statistical tools - Lasso; 4. Using time series basis, cointegration, time series prediction to conduct time series analysis for signal research; 5. Coding algorithms in Python or C++. 6. Reading and writing from databases in SQL, Postgres or kdb; 7. Spec portfolios with risk characteristics. 8. Using JIRA, git and git management platforms (Gitlab or bitbucket). &nbsp; Salary / Rate Minimum/yr: : $170,000 Salary / Rate Maximum/yr : $255,000 40 hrs/wek. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. &nbsp; Squarepoint is an EEO/AA employer &nbsp;

Quantitative Researcher - Investment CTA/Fixed Income

Squarepoint Services US LLC seeks a Senior Quantitative Researcher - Volatility Trading for its New York, New York location. &nbsp; Duties: On behalf of an investment management firm, formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models.&nbsp; Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on options or other asset classes. Produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects. Perform validation and testing of both trading simulations and critical trading applications. Utilize KDB/Q to automate daily data dependency processing for trading strategies, analyze existing strategy behavior and propose and implement improvements.&nbsp; Manage live trading automatons and perform continuous monitoring of risk related to live trading automatons.&nbsp; Leverage on asset-class-specific experience to find new patterns in market data and explore new methods to optimize execution costs.&nbsp; Utilize extensive knowledge of market structure and statistical arbitrage to improve on existing trading strategies and develop new trading strategies. Coordinate team efforts to build, validate, release and maintain highly complex automated trading models. Pilot research projects spanning multiple teams across multiple regions to develop new mathematical models and analytical tools for critical investment decision making. Map out, prioritize, and lead research projects based upon estimation of potential future profits and financial risk. Participate in investment senior level decision making including risk allocation of quantitative trading strategies and in risk management at the desk’s level. Represent company interests in interactions with company’s counterparties. &nbsp; Requirements: Must have a minimum of a Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering or Math) field of study and 3 years of experience as a Quantitative Researcher or related position for an investment/asset management organization. Must have at least three (3) years of employment experience with each of the following required skills: Researching, designing and implementing strategies within the firm’s automated trading framework; Experience with developing option trading and execution strategies from inception, volatility forecasting, volatility surface modeling, and alpha mining based on options market microstructure and events. Analyzing large datasets to identify trading opportunities using advanced statistical methods, including hypothesis testing, ordinary and regularized regression techniques, and ensemble models; Utilizing C++ programming language to read and implement production configuration files, as well as underlying C++ source code; Knowledge of Black-Scholes and alternative option pricing methodologies; Understanding the market structure of various exchanges and asset classes, such as options, equities, futures. Must have two years of experience with: KDB/Q programming language to perform complex tasks, including experience with manipulating and extracting information from large datasets;&nbsp; Salary / Rate Minimum/yr: $150,000 Salary / Rate Maximum/yr: $250,000 &nbsp; 40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate.&nbsp; It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer. &nbsp; &nbsp;

Sr. Quantitative Researcher - Volatility Trading

&nbsp; Squarepoint Services US LLC seeks a Fundamental Equity Research Analyst for its Boston, Massachusetts location. &nbsp; Duties: Analyze companies and stocks under coverage and make investment recommendations, leveraging a variety of analytical approaches and information sources including financial modeling, channel checks, alternative data, corporate access, and proprietary research. Formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on equities or other asset classes and produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects. Perform validation and testing of both trading simulations and critical trading applications, build applications utilizing Shell and Python to automate daily data dependency processing for trading strategies, utilize KDB/Q and Python to analyze existing strategy behavior and propose and implement improvements and utilize Excel/VBA mathematical models and KDB analysis tools to track market history of specific asset classes to evaluate future profit potentials and risk margins. &nbsp; Requirements: Must have a minimum of a Master’s degree or foreign equivalent in Finance or related of study and 5 years of experience as a Equity Researcher, Senior Sector Specialist, Research Associate or related position for an investment/asset management organization performing fundamental research in an equity research buy-side role . Must have at least five (5) years of employment experience with: Deep coverage expertise in Software subsectors - Application Software, Vertical Software, Payroll, Cybersecurity, and Infrastructure; Generating long and short ideas over various time horizons between 1-2 weeks and 6-9 months. Conducting bottom-up fundamental equity research on private and public companies across Software including industry/sector deep-dive, product and technology analyses, and company-specific proprietary research. Creating and maintaining single stock models using key metrics/stock drivers; Conducting financial statements analysis and constructing valuation framework. Conducting primary diligence, surveys, and channel checks to drive differentiated and actionable ideas. Leveraging and incorporating Alternative data sets including web traffic, sentiment data, domain registration, and credit card spending into the investment process, and delivering stock recommendations. Experiences with quantamental research or quantitative analytical approaches including multi-factor regression modeling and algorithm programming using R/Python. Hosting company meetings with management; Attending user conferences and conducting field study and customer/partner checks. Must have 2 years of experience with risk management and tactical trading. Understanding positioning, risk factors, and trade flows; Generating ideas leveraging tactical colors. National travel is required on a monthly basis to industry conferences/company events/headquarter visits &nbsp; Salary / Rate Minimum/yr: $170,000 Salary / Rate Maximum/yr: $300,000 40 hrs/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate.&nbsp; It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer.

Fundamental Equity Research Analyst

&nbsp; The Corporate Foundation Coordinator role will support programs and initiatives for the community impact and employee engagement programs of the Foundation as well as a variety of administrative tasks.&nbsp;A successful candidate will have the ability to support the development and maintenance of strong relationships with external stakeholders while also helping to drive employee engagement. Key responsibilities Research potential non-profit partner organizations to ensure they align with the Foundation’s philanthropic pillars of giving&nbsp; Attend and take notes for all Foundation meetings with internal stakeholders and external non-profit partners&nbsp; Assist in executing volunteer opportunities through research, planning, promoting, tracking signups and attendance, and follow up surveys Manage and organize Foundation digital files and documentation to ensure accuracy, accessibility, and compliance Assist in communications of relevant updates and events about Foundation activities&nbsp; Manage charitable match giving platform, Benevity, by keeping information up to date, monitoring and responding to employee inquiries, and approving matches Maintain communication with non-profit partners to ensure monitoring and reporting requirements are met Represent Squarepoint and the Foundation at local events as needed Assist with budget track and annual report and audit Must have 2-4 years’ experience Conversational French Strong attention to detail while also working under deadlines Strong written communication skills Ability to multitask Ability to work flexible hours as needed Up to 10% of travel Useful Familiarity with the Benevity and Salesforce Understanding of UK Charity Commission guidelines Relationships with non-profits in the London area &nbsp;

Corporate Foundation Coordinator

Position Overview: Process data and apply it in an accurate manner to the database using technical and financial knowledge Deliver on predefined individual and team targets including delivering outcomes under tight deadlines with quality and excellence. Will work within parameters and with supervision to ensure quality and performance to set standards. Build subject-matter expertise towards various workflow and processes of the dataset Provide data and analysis based on various project owners’ requests. Required Qualifications: Bachelor’s degree or post-graduation: M. Com / PGDM/ MBA (Any stream with Finance / Accountancy as major subject). Effective communication skill (written &amp; verbal) Strong computer skills Excellent attention to detail, multi-task and ability to prioritize. The candidate must have a positive attitude towards work and environment/culture of the team 2-4 years of relevant experience Shift Flexibility: Must be willing to work night shifts 1-2 days per week based on business requirements. &nbsp;

Financial Research Analyst

Position Overview: Assist with drafting and reviewing fund documentation, including offering memoranda, partnership agreements and IMAs. Assist with negotiating IMAs with third party managers. Assist with investor relation matters, including onboarding new investors, negotiating investor side letters and dealing with investor specific requests. Manage new entity set-ups, including drafting and negotiating operative documents and handling signings/closings. Manage the liquidation process of entities no longer in use. Review documentation for private investments. Assist with managing seed deals, as well as the launch of new business lines. Assist with project management, including drafting and maintaining transaction management plans, liaising with other internal teams and handling signings/closings. Coordinate and draft board resolutions, corporate authorisations and ancillary documents across group structure. Coordinate and liaise with external directors other departments, including COO office, fund accounting, compliance, operations, tax and investor facing teams. Assist with ad-hoc maintenance matters (audit, tax, KYC requests etc.). There is no typical day for this Legal Counsel. The role’s duties will be varied and will include a mix of funds and investments work, as well as involvement on ad hoc matters as necessary. The working environment is multi-disciplinary, collaborative and non-hierarchical. The successful candidate will be required to (a) take ownership of matters and (b) work closely with other teams (also located in different jurisdictions) and senior management. The Legal Counsel will report to a more senior member of the legal team. &nbsp; Required Qualifications:&nbsp; 4 + years PQE (or equivalent). Previous experience/training in a top-tier transaction firm, as well as in-house experience (preferable). Previous experience in a wide range of Investment funds work willingness to broaden skill set. Enthusiasm for a variety of legal areas. Excellent attention to detail. Pro-active and ability to think outside-the-box in order to provide solutions. Strong interpersonal, organisational and communication (both written and verbal) skills. Ability to work well with colleagues across multiple regions and time zones. Capacity to prioritise, manage multiple tasks and work within tight deadlines. Willingness to support a growing team based in different jurisdictions on a broad range of matters. &nbsp; &nbsp;

Legal Counsel - Funds

Position Overview: Squarepoint is seeking a hands-on Trading Infrastructure Support (TIS) Tech Lead to manage a global TIS team. The candidate will lead a team of support specialist, ensuring high availability of Squarepoint’s mission-critical infrastructure, systems, and platform application services across APAC, EMEA, and AMER regions. &nbsp; Manage a 24x5 global support schedule and weekend on-call rotation. Define policies, processes, roadmaps, and best practices to meet SLAs and scale with business needs. Collaborate with service teams to build automation, self-service tools, and runbooks. Ensure the team is trained, skilled, and empowered to remove blockers and inefficiencies. Proactively identify and eliminate inefficiencies across workflows and operations. Lead&nbsp;and coordinate technical efforts across the global support team. Stay hands-on with troubleshooting and&nbsp;lead&nbsp;major outage recovery efforts to minimize impact. Main Duties &amp; Responsibilities: Manage a 24x5 global support schedule and weekend on-call rotation. Define policies, processes, roadmaps, and best practices to meet SLAs and scale with business needs. Collaborate with service teams to build automation, self-service tools, and runbooks. Ensure the team is trained, skilled, and empowered to remove blockers and inefficiencies. Proactively identify and eliminate inefficiencies across workflows and operations. Lead&nbsp;and coordinate technical efforts across the global support team. Stay hands-on with troubleshooting and&nbsp;lead&nbsp;major outage recovery efforts to minimize impact. Required Qualifications: 5+ years of hands-on experience in Linux/Unix administration (RHEL/CentOS/OEL preferred). Strong understanding of CI/CD practices, including observability, orchestration, containerization, automated testing, deployment pipelines, and configuration management. 3+ years of experience&nbsp;leading a technology team, ideally in infrastructure support. Exceptional verbal, written, and organizational skills. Strong customer service orientation and strategic mindset. Excellent analytical, prioritization, and problem-solving abilities. Working knowledge of storage protocols (NFS, GPFS a plus). Experience with infrastructure automation tools (Chef, Puppet, Ansible). Solid understanding of networking fundamentals (TCP/IP, multicast, tcpdump, PTP, NTP). Ability to thrive in a fast-paced, deadline-driven environment. Bachelor’s degree in Computer Science, Engineering, or a related field. ITIL knowledge is a plus. &nbsp; The minimum base salary for this role is $100,000 if located in New York. &nbsp;This expectation is based on available information at the time of posting. &nbsp;This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.&nbsp; This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.&nbsp; Successful candidates’ compensation and benefits will be determined in consideration of various factors. &nbsp;

Trade Flow Support - Trading Infrastructure Support Lead

Squarepoint Services US LLC seeks a Quantitative Researcher (Volatility-Medium-Frequency) for its New York, New York location. Duties: Conduct quantitative research to design, backtest, and implement systematic volatility trading strategies across equities, indices, and other liquid derivatives markets. Develop and refine statistical and machine learning models for volatility forecasting, options pricing, and risk premia capture, using large-scale historical and real-time data. Collaborate closely with traders, technologists, and risk managers to translate research insights into robust production signals and fully automated trading systems.&nbsp; Continuously monitor, evaluate, and improve strategy performance, including parameter calibration, risk controls, and transaction cost optimization in a high-performance computing environment. Must have a minimum of a Master’s degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study, Financial Economics or Operations Research and 3 years of experience as a Quantitative Researcher, Research Associate, Quantitative Analyst, Equity Derivatives Trader or related position for an investment/asset management organization. Must have at least three (3) years of employment experience with each of the following required skills: Programming with C++, Java, Python or KDB. Conducting research on trading equity derivatives, swaps and options. Analyzing large financial datasets to calibrate models or volatility surfaces. Alpha or signal research in volatility trading, including developing and backtesting systematic signals to detect mispricing or relative-value opportunities. Managing large and complex portfolios with disciplined risk control, including the design, implementation, and continuous refinement of quantitative risk models, PnL attribution/explanation frameworks, and scenario/stress analysis. Quantitative portfolio construction using optimization-based frameworks (mean-variance, factor-based), incorporating model-derived risk estimates and practical constraints. Salary / Rate Minimum/yr: $200,00 Salary / Rate Maximum/yr: $235,000 40 hrs/wk. The minimum and maximum salary/rate information above include only base salary or base hourly rate.&nbsp; It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer.

Quantitative Researcher (Volatility Medium-Frequency)

Position Overview: The primary focus of this role will be on OTC Derivatives Middle Office operations, with responsibilities encompassing derivative trade capture, trade confirmations, settlements, reconciliations, and position life-cycle events within the firm. Manage all aspects of OTC Derivative trade validation, maintenance, affirmation, settlement, and reconciliation. Validate, process, and settle all periodic events to ensure the integrity of the entire trade life cycle. Perform position and cash reconciliations. Perform trade affirmation in MarkitWire with counterparties to minimize risk. Monitor T+0 trade capture exceptions. Process corporate actions for APAC and EMEA regions. Required Qualifications: 5–7 years of experience in an OTC Middle/Back-Office role, covering trade processing, collateral, confirmations, settlements, cash, position, and trade reconciliations. Demonstrated proficiency across all types of OTC products, including equity swaps, credit default swaps, variance swaps, options, asset swaps, interest rate swaps, forwards, MBS, FX settlements. Proven ability to assess the impact of corporate actions on P&amp;L and start-of-day (SOD) processes. Demonstrated proficiency in all calculations required to support products within the applicable asset class coverage. Ability to establish and maintain strong organizational relationships that foster a productive and collaborative work environment. Excellent written and oral communication skills. Experience working on system and process improvements, as well as new business initiatives. Proficiency in relevant applications, including Excel, MarkitWire, CTM, Traiana, NYFIX, and Bloomberg, as required to excel in this role. &nbsp;

Operations Analyst

Trading Infrastructure Specialists play an important role maintaining mission critical trading software and systems&nbsp;in the Squarepoint technology stack. In this role you will be joining our Trading Infrastructure Support Team on an 18-month rotation programme. During this time, you will be exposed to a wide array of technologies across our Infrastructure estate and be supported by&nbsp;established members of the team. At the end of the rotation, you will have the tools and knowledge to move into one of our&nbsp;DevOps/Systems&nbsp;teams,&nbsp;or you can opt to stay within Trading Infrastructure Support. Things you will learn: You will be enrolled in a structured training programme with a dedicated mentor who will support you throughout your journey here at Squarepoint. Within the first few months you will learn about the tech stacks for our infrastructure teams and gain exposure to our application stack for trading. You will work alongside our support team to learn how we address user issues, understand our handling standards, and gain the ability to triage and prioritise problems as they come up. You will have the opportunity to work with technologies such as Linux, Kubernetes, high-performance computing (HPC), distributed storage, load balancing, and more. &nbsp; Towards the end of the programme there will be 1-week rotations within our DevOps and Systems teams so that you can gain hands-on experience within those areas. Day-to-day responsibilities Once initial training is complete, a normal day in this role could involve: Troubleshooting and automation across a wide array of core systems Engaging with service owners&nbsp;on day-to-day operational issues,&nbsp;triage, manage and&nbsp;resolving incidents Supporting observability, workload schedulers, databases, and Linux systems depending on team needs. Contributing to automation tasks using Python, Bash, or Ansible. Maintain monitoring, alerting, and logging pipelines Document issues, update runbooks, to aid your colleagues Required skills: Bachelor’s degree in engineering, Computer Science, or related field Basic Linux knowledge Familiarity with Python Understanding of fundamentals of hardware infrastructure The ability to remain calm under pressure, assess competing priorities and remain well-organised Scientific curiousity and desire to learn and continuously improve system performance Good communication skills Nice to have: Exposure to one or more of containers, Kubernetes, VMs, Distributed Storage Understanding of modern telemetry tooling Interest in HPC, Schedulers, or CI/CD systems &nbsp;

Trading Infrastructure Specialist – Graduate Programme

This Internship is for Fall 2026 in Montreal, Canada. The minimum length of the Internship must be 12 weeks.&nbsp; At Squarepoint, our technology is integral to the success of our firm. We are looking for highly motivated students with a deep passion for technology and software development to join our software developer Summer internship program. As a participant in the internship program, you will work closely with experienced engineers to develop and deliver custom software solutions that solve complex problems and help to shape the business of investment management. Position Overview: A fast-paced training program to give you an introduction to all technical facets of software development in the algorithmic trading industry The software you build and the projects you work on will be leveraged to support active and ongoing trading with the markets &nbsp; Independent programming projects in Python or C++ Intern social events to let you network with other Squarepoint employees and explore the city where you’re spending your internship Required Qualifications: Pursuing a degree in Computer Science, Computer/Electrical Engineering or equivalent Candidates must be in penultimate year of study Knowledge of one or more of the following programming languages: Python, C++, Java, Rust, C Knowledge of Unix systems A deep passion for technology Exceptional problem-solving skills Strong communication skills &nbsp; &nbsp;

Intern Software Developer - Fall 2026

Position Overview: We are looking for a qualified finance professional to join the Financial Planning &amp; Analysis team at Squarepoint, a leading quantitative investment manager. The individual should have a strong understanding of FP&amp;A principles and financial modelling, as well as experience working with Enterprise Performance Management tools, ideally Workday Adaptive Planning or a similar platform. The role will support the delivery of three-statement financial and non-financial modelling, planning and analysis, with outputs that directly inform strategic decision-making by leadership and the wider finance team. This is a hands-on role suited to someone who is passionate about FP&amp;A, interested in financial modelling and planning systems, and excited by the opportunity to grow within a high performing function. The role offers the opportunity to make a real and lasting impact through high-quality modelling, analysis and process improvement. Support, and where appropriate help lead, the development of new planning models as the FP&amp;A function expands into different parts of the business. Maintain and enhance existing three-statement financial planning models within the EPM platform. Apply financial modelling principles to develop, improve and maintain models used for forecasting, planning, analysis and strategic decision-making. Assist with the preparation of financial models and business cases to evaluate potential investments, initiatives and strategic decisions. Work with stakeholders across the business to source forecast inputs, loading and validating these within the planning system in an accurate and timely manner. Sense check model outputs and underlying data to identify, investigate and resolve errors, ensuring the integrity of outputs. Analyse financial and non-financial outputs and their key drivers, presenting insights back to stakeholders in a clear and actionable way to support decision-making and drive action. Support the development of EPM data integrations, planning models and reporting outputs. Use LLM tools and other technologies to improve processes, increase efficiency and support problem-solving. Required Qualifications: &nbsp;Relevant experience in an FP&amp;A, finance, planning or similar analytical role, with a strong understanding of financial modelling principles. Experience building, maintaining or improving financial models, ideally including three-statement financial models. Experience using an Enterprise Performance Management tool such as Workday Adaptive Planning, Anaplan or Vena. Proficiency in Microsoft Office, particularly Excel. Familiarity with LLM tools in either a professional or personal context. Strong communication skills with the ability to build and maintain professional relationships across all levels of the business. High personal standards, strong attention to detail and a desire to exceed expectations. An independent mindset, with the confidence to challenge existing processes and propose improvements. A well-structured, proactive work ethic with the ability to work under pressure and manage deadlines in a fast-paced environment. A curious mindset and a natural interest in understanding the wider business. Open to technology and motivated to find ways to streamline and improve processes. Experience building business cases and financial models to support investments, initiatives or strategic decisions would be advantageous. Experience with data visualisation, including graphs and dashboards, would be advantageous. A general understanding of a programming language such as SQL, Python or M would be beneficial but is not essential.

FP&A Manager

Position Overview: We are looking for a qualified finance professional to join the Financial Planning &amp; Analysis team at Squarepoint, a leading quantitative investment manager. The individual should have a strong understanding of FP&amp;A principles and experience working within asset management, a hedge fund or a similar financial services environment. The role will support the delivery of management reporting, budgeting, forecasting and variance analysis, with a focus on data accuracy, controls, reconciliations and the production of high-quality analytical outputs. This is a hands-on role suited to someone who thrives in a fast-paced and evolving environment, takes pride in the accuracy and integrity of their work, and is comfortable working through detailed processes while keeping sight of the bigger picture. The individual should be comfortable using planning systems day to day, with the curiosity to understand how models and data flows work and the confidence to suggest practical improvements. For the right person, this is an excellent opportunity to grow within a high-performing FP&amp;A function and make a real impact on the quality and reliability of financial reporting across the business. Prepare and deliver management reporting packs, budget submissions, forecast packs and variance analysis in an accurate and timely manner. Reconcile data between source systems, Workday Adaptive Planning and offline analysis, ensuring consistency and integrity across inputs and outputs. Perform offline checks to validate that Workday Adaptive Planning models are calculating correctly and that data is flowing through the system as expected. Sense check model outputs and underlying data to identify, investigate and resolve errors before reporting is shared with stakeholders. Work with business owners and finance counterparts across the business to source inputs, resolve queries and ensure reporting, budgeting and forecasting processes run smoothly. Analyse financial and non-financial outputs and their key drivers, presenting insights in a clear and concise way to support business decision-making. Identify and help deliver efficiencies in reporting, planning and control processes, reducing manual effort and improving the quality and reliability of outputs over time. Provide practical feedback on Workday Adaptive Planning functionality and suggest improvements to how the system is used to support reporting, planning and analysis. Maintain a strong controls mindset across all FP&amp;A outputs, ensuring processes are well-structured, repeatable and appropriately reviewed. Required Qualifications: Relevant experience in an FP&amp;A, finance or planning role within asset management, a hedge fund or a similar financial services environment. Strong experience preparing management reporting, budgets, forecasts and variance analysis. A strong controls mindset, with a disciplined approach to reconciling data across multiple sources and validating outputs. Experience using an Enterprise Performance Management tool such as Workday Adaptive Planning, Anaplan or Vena as a day-to-day user. The ability to understand planning models and system outputs in detail, with the curiosity to identify where data, calculations or processes may need improvement. Strong analytical skills, with the ability to understand model outputs, identify key drivers and explain movements clearly and concisely. Proficiency in Microsoft Office, particularly Excel. Strong communication skills, with the ability to work effectively with business owners and finance counterparts across the business. High personal standards, strong attention to detail and a desire to exceed expectations. A well-structured, proactive work ethic with the ability to manage deadlines and maintain high standards under pressure. Comfortable working in a fast-paced, changing and growing environment, with the ability to adapt quickly as priorities evolve. A curious mindset, able to understand the detail while keeping sight of the wider business context. A track record of identifying and delivering process improvements or efficiencies within an FP&amp;A or finance function would be advantageous. Experience with data visualisation, including graphs and dashboards, would be advantageous. &nbsp; &nbsp;

Senior FP&A Analyst

Position Overview:&nbsp;&nbsp; The Legal Assistant is responsible for supporting the legal department in the review, coordination,&nbsp; administration, and processing of invoices submitted by external legal counsel and other legal service providers. Key areas of work will include: Managing the legal invoice system, including onboarding law firms, creating matter IDs, andpreparing reports. Receive, log, and track invoices from external counsel and legal service providers. Review invoices for completeness, accuracy, and compliance with agreed billing terms, andengagement letters. Identify discrepancies, non-compliant charges, duplicate billing, or missing supportinginformation. Route invoices to the appropriate legal and business stakeholders for review and approval. Submit approved invoices to finance/accounts payable in line with internal procedures andpayment deadlines. Monitor invoice status and follow up on outstanding approvals, rejected invoices, and paymentqueries Act as a point of contact between the legal department, finance/accounts payable, and externalcounsel on billing and invoice matters. Other ad hoc admin tasks to support the Legal team members. Required Qualifications: Bachelor’s degree in law, commerce, data analytics or a related subject. Previous experience as a legal assistant, paralegal, or equivalent. Excellent PC skills, including advance knowledge of Microsoft Word, Outlook and Excel. Ability to work well with colleagues across multiple regions. Highly organised with the ability to prioritise and manage multiple tasks. Excellent attention to detail. Outstanding communication in English (both written and verbal). &nbsp; &nbsp;

Legal Assistant - Fixed Term Contract (3 Months)

Job Summary&nbsp; Squarepoint is looking for a Platform Storage Specialist to join our growing global team. The candidate will work alongside our team to design, build, and&nbsp;maintain&nbsp;enterprise-grade storage services that are continuously scaling to support the growth of the company. This role requires in-depth knowledge of distributed storage systems, storage architectures, and storage protocols, including performance optimization, capacity planning, and data lifecycle management. The candidate will ideally have experience with on-premises storage infrastructure, network-attached storage, parallel file systems, object storage, and cloud-based storage platforms. Your day-to-day could consist of storage infrastructure design and deployment, performance tuning and troubleshooting, monitoring and alerting improvements, capacity management,&nbsp;automation&nbsp;and tool development, and much more.&nbsp; Main Duties &amp; Responsibilities&nbsp; Design, deploy, and manage distributed storage systems efficiently at scale through standardization, automation, testing, and in-depth monitoring&nbsp; Architect and&nbsp;maintain&nbsp;high-performance storage solutions including NFS, GPFS, WEKA, and object storage platforms&nbsp; Perform storage capacity planning, forecasting, and lifecycle management to ensure&nbsp;optimal&nbsp;utilization&nbsp;and cost efficiency&nbsp; Monitor storage performance metrics,&nbsp;identify&nbsp;bottlenecks, and implement tuning and optimization strategies&nbsp; Develop and&nbsp;maintain&nbsp;automation tooling for storage provisioning, configuration, and health monitoring&nbsp; Collaborate with&nbsp;compute, networking, and application teams to ensure storage solutions meet performance and reliability requirements&nbsp; Implement and improve storage-related observability, alerting, and incident response processes&nbsp; Evaluate and integrate new storage technologies, including cloud-based storage services (AWS S3, EBS, EFS, GCP Cloud Storage,&nbsp;Filestore, etc.)&nbsp; Ensure data integrity, availability, and disaster recovery readiness across storage platforms&nbsp; Document storage architecture, runbooks, and operational procedures&nbsp; &nbsp;Required Qualifications&nbsp; 5+ years of experience in a technology infrastructure role with a strong focus on storage administration and Linux administration&nbsp; Deep&nbsp;expertise&nbsp;with distributed storage systems and storage protocols (NFS, GPFS, WEKA,&nbsp;Lustre, Ceph, or similar)&nbsp; Experience with storage performance analysis, benchmarking, and optimization&nbsp; Experience working with configuration management driven administration&nbsp;using tools such as Chef or Ansible&nbsp; Proficient in Python,&nbsp;or other high-level language (Go, Rust, etc.) for automation and&nbsp;tooling&nbsp;development&nbsp; Experience with modern software development practices: version control, agile development, CI/CD&nbsp; Experience with observability in distributed systems (e.g., Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana)&nbsp; Experience working with cloud storage services across various cloud providers (AWS and GCP)&nbsp; Bachelor's Degree in an Engineering discipline or related area&nbsp; Excellent written and verbal communication skills&nbsp; &nbsp;Preferred Qualifications&nbsp; Experience with object storage systems (Cloudian,&nbsp;MinIO, S3-compatible platforms)&nbsp; Familiarity with storage hardware (disk arrays, JBODs,&nbsp;NVMe/SSD technologies, HBAs, and storage networking)&nbsp; Experience with data protection strategies including backup, replication, and disaster recovery&nbsp; Understanding of storage tiering and data lifecycle policies&nbsp; Knowledge of high-performance computing (HPC) storage workloads and patterns&nbsp; Eagerness to continuously learn new storage technologies and develop with us&nbsp; Ability to work well in a fast-paced, adaptable, and pressured environment&nbsp; &nbsp; The minimum base salary for this role is $100,000 if located in New York. &nbsp;This expectation is based on available information at the time of posting. &nbsp;This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.&nbsp; This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.&nbsp; Successful candidates’ compensation and benefits will be determined in consideration of various factors. &nbsp;

Platform Specialist - PLS

Position Overview:
<ul>
<li>The Communications Associate is responsible for supporting the internal and external communications strategies for the firm</li>
<li>Work closely with the executive management team to make sure that top-down communications flow smoothly and resonate with employees of all functions, levels and locations</li>
<li>Collaborate with the various stakeholders in the Investment, Technology and Corporate teams to strengthen connectivity and awareness across the organization</li>
<li>Create and distribute communications tailored for specific audiences including various firm newsletters, organizational announcements, and updates on firm initiatives</li>
<li>Measure the success of communication campaigns, and adapt the strategy based on data and feedback</li>
<li>Work closely with Investor Relations to create marketing decks and investor relations materials</li>
<li>Develop and maintain content on the internal and external-facing Squarepoint website</li>
</ul>
Required Qualifications: 
<ul>
<li>Bachelor’s degree from an accredited university or college with a strong academic record</li>
<li>2+ years of experience in a communications role, with a focus on internal communications, content strategy, and writing/presentation</li>
<li>Excellent verbal and written communication skills</li>
<li>Experience working closely with investment professionals and technologists and ability to quickly grasp financial and technical concepts and convey them in writing to a variety of audiences</li>
<li>Highly developed organization and project management skills, with a strong attention to detail</li>
<li>Entrepreneurial approach to working with other teams and comfortable in a self starter environment</li>
<li>Thorough knowledge of Microsoft Office applications (Word, Excel, PowerPoint)</li>
</ul>
 
The minimum base salary for this role is $100,000 if located in New York. &nbsp;This expectation is based on available information at the time of posting. &nbsp;This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.&nbsp; This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.&nbsp; Successful candidates’ compensation and benefits will be determined in consideration of various factors.

Communications Associate

Position Overview:
The Learning and Development Coordinator will be part of the global Recruiting &amp; Talent Development team, focused on improving and delivering Squarepoint’s L&amp;D program globally. The person will report into our Learning &amp; Development Lead.
<ul>
<li>Coordinate and schedule firm-wide training sessions, both internal and external, including all related logistics</li>
<li>Support the smooth execution of Learning &amp; Development programs across the firm</li>
<li>Assist with keeping all current L&amp;D offerings updated on shared platforms</li>
<li>Collect, analyse, and utilise data to support L&amp;D initiatives and decision-making</li>
<li>Leverage AI tools to enhance the delivery of L&amp;D projects</li>
<li>Assist with the nomination process for all training programs and keep all relevant trackers updated</li>
<li>Leverage prior experience to provide insight towards developing training programs</li>
<li>Provide support across the full lifecycle of training initiatives, from proficiency surveys through to delivery and feedback collection</li>
<li>Partner with internal stakeholders to understand departmental needs and support the continued development of the L&amp;D function</li>
<li>Assist with any ad-hoc L&amp;D requests as needed.</li>
</ul>
Required Qualifications:
<ul>
<li>2+ years of relevant work experience, L&amp;D experience at a hedge fund or similar investment management firm preferred</li>
<li>Comfortable working in a fast-paced environment</li>
<li>Bachelors degree or equivalent</li>
<li>Possessing exceptional organizational skills with an acute attention to detail, coupled with the ability to prioritize and manage multiple projects concurrently</li>
<li>Strong communication skills and the ability to collaborate with teammates globally</li>
<li>Strong proficiency with MS Office tools and other relevant software</li>
<li>Show readiness to hit the ground running, learn existing processes, and contribute to the growth of the L&amp;D function through the successful completion of assigned projects.</li>
</ul>
&nbsp;

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