Teams 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.

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.