Cubist Systematic Strategies, LLC, has an opening for a Research Analyst in New York, New York. May work from home up to 1 day per week, as permitted.

Conduct and manage quantitative finance alpha research from diverse data sources to provide accurate stock return forecasts. Build and implement profitable quantitative equity investment models. Assist with generating trading strategies. Conduct research on and analyze large data sets. Gather investment thesis and author quantitative research reports and present research results to management and other team members. Collaborate with other members of the team (including developers and other researchers) in the full lifecycle R&D process from idea generation, data preparation, model building, implementation and production deployment. Play significant role in the design, building and maintenance of the team’s research and trading infrastructure and systems.

Must possess at least a master’s or its equivalent in Computational Finance, Financial Engineering, Statistics, Mathematics, Operations Research, Computer Science, or a related STEM field. Must also possess the following: at least one competitive internship in financial services; demonstrable experience with performing statistical analysis of historical data gathered from financial markets to build quantitative models; demonstrable experience with conducting independent research utilizing large data sets; demonstrable state of the art understanding of linear algebra and matrix mathematics; and demonstrable experience with programming/utilizing Python, C++ and SQL.

Approximately 40 hours per week; the salary range for this position is from $150,000 - $300,000 per year.

Any person who is interested in this position may apply to the following for consideration:

Send your resume to svcRecruiting@Point72.com and reference Job Code C052026K.