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.

squarepoint-capital

&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 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; 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

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

&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;

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