Research Analyst
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 one day a 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 teams research and trading infrastructure and systems. Must possess at least at least a masters degree or its equivalent in Computational Finance, Financial Engineering, Statistics, Mathematics, Operations Research, Computer Science or a related STEM field, like Physics or Engineering and at least one year of experience as a Researcher in a quantitative field. Must also possess the following: at least one year of experience programming/utilizing C++, Python or SQL; at least one year of experience conducting independent research utilizing large data sets; and demonstrable experience using advanced statistical techniques including linear and generalized linear models, mixed-effect models, non-parametric models and time series analysis. Must have completed at least one quantitative research internship in financial services developing, researching, and implementing quantitative models for equities or futures on behalf of a financial service institution. Approximately 40 hours per week; the salary range for this position is $150,000 to $300,000 per year Any person who is interested in this position may apply to the following for consideration:Send your resume to [email protected] and reference Job Code Y012026H.
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