Jobs at Squarepoint Capital

Conduct independent and collaborative research in statistics and probability; develop, validate, and maintain efficient code and automated predictive financial models; analyze large datasets; collaborate across teams to update and optimize models and workflows to meet market demands.

Design, implement, and validate mathematical and simulation models for trading strategies. Analyze market data using kdb+/q and Python, build automation with Shell and Excel/VBA, conduct option-specific research and portfolio construction, backtest systematic ideas, monitor live trading automatons, and assist senior researchers in deploying and maintaining quantitative strategies.

As a front-end developer at Squarepoint, you will enhance user experience on trading platforms using React and TypeScript to develop applications for real-time data access.

The Ultra Low Latency Network Specialist manages the global trading network, ensuring stability, optimization, and support while collaborating with developers.

The Finance Analyst will manage bank reconciliations, month-end closing activities, and ensure compliance with financial regulations, collaborating with various departments.

As a kdb+/q developer, you will design, implement, and maintain kdb+ architecture, normalize datasets, and support critical services during trading.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

The Financial Research Analyst processes financial data accurately, meets tight deadlines, and provides analysis as per project requests, developing subject-matter expertise.

Participate in a software development internship supporting algorithmic trading infrastructure. Collaborate with experienced engineers and mentors on impactful projects across data engineering, risk, market data, quantitative development, and frontend teams. Build custom software solutions through independent programming projects in Python or C++, while gaining exposure to technical facets of software development in finance and technology.

Early-career SRE working on production ML/HPC infrastructure: design and maintain data pipelines, orchestration, scheduling, performance and reliability improvements, and collaborate with researchers to deliver production-quality systems under mentorship.

Own delivery of market data projects from technical scoping through migration and production. Coordinate with developers, vendors, exchanges, and stakeholders; write technical documentation and runbooks; manage Jira kanban, report progress, and act as SME for market data products.

Lead HR operations for multiple EMEA countries from Geneva: advise leaders, manage employee relations, oversee payroll and immigration, ensure legal compliance, run HR projects and transformations, provide reporting, and manage a small HR team.

Provide first- and second-level on-site and remote desktop support for ~2,000 global users in a Windows/virtual desktop environment. Manage incidents and service requests within SLAs, maintain runbooks and KB articles, handle hardware/inventory and procurement, collaborate with L2/L3 teams and vendors, participate in rotational on-call coverage, and support projects as assigned.

The candidate will administer Windows servers and virtualization environments, focusing on automation, security, and compliance in a financial services setting. Responsibilities include PowerShell scripting, managing VMware infrastructure, and integrating Microsoft 365 services.

The Technical Business Analyst drives project lifecycles by gathering requirements, designing solutions, managing projects, and collaborating with stakeholders to ensure successful delivery.

The Software Developer will build software solutions using Python, collaborating with developers and researchers to support trading success and business growth.

Develop and implement low latency, high performance trading systems using C++. Drive design and processing of data and connectivity services.

Develop and implement reliability features, improve system performance, provide L2 support, and create automation tools for operational stability.

Manage and lead Order Gateway Developers to implement business requirements, ensure high-quality standards, and improve team efficiency while enhancing software performance.

Develop econometric and statistical models to forecast asset price movements and macro variables, implement and validate algorithmic trading strategies, automate data processing in Python, monitor live trading automations and associated risk, and analyze macroeconomic releases and BLS datasets.