Cubist Systematic Strategies, LLC, has an opening for a Research Analyst in New York, New York. This position is hybrid; may work from home up to 2 days 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 life-cycle 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 PhD or its equivalent in Statistics, Mathematics, Operations Research, Computer Science or a related STEM field and at least one year of experience as a Research Analyst, Data Scientist or a related role. Must also possess the following: at least one year of experience programming/utilizing SQL, C++ and Python; at least one year of experience conducting independent research utilizing large data sets; at least one year of experience building processes and technology to ingest, tag, and clean datasets; at least one year of experience building machine learning models; at least one year of experience using and analyzing high dimensional complex data; and at least one internship in finance working with financial and alternative data supporting a financial business and analyzing risk.

Approximately 40 hours per week; the salary range for this position is $160,000 to $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 Z042026T.