Point72, L.P. has an opening for a Data Scientist in New York, New York. This position is hybrid; may work from home up to one day a week, as permitted.

Analyze and manage large scale financial and macroeconomic datasets to support systematic investment research and live trading across global asset classes. Identify, evaluate, and onboard internal and third party data sources, working with vendors and internal stakeholders to assess data structure, quality, and coverage. Design, maintain, and monitor data ingestion and validation pipelines to ensure accurate, timely, and reliable production data for quantitative research and trading. Perform exploratory data analysis and generate descriptive statistics to document dataset characteristics and potential research applications. Partner with quantitative researchers and investment teams to translate complex datasets into research ready analytical outputs and support data driven analysis. Serve as a subject matter resource in assigned data domains, providing guidance on data usage, interpretation, and resolution of complex data issues.

Must possess at least a master’s degree or its equivalent in Financial Engineering, Quantitative Finance, Statistics, Mathematics, Operations Research or a related quantitative field and at least 6 months of internship experience as a Data Analyst, Data Engineer or in a related role at a financial services institution. Must also possess at least 6 months of internship experience with the following: Programming/utilizing SQL, Python, and R; identifying data anomalies; onboarding, preparing, and cleansing large datasets; and developing statistical models using large datasets. Approximately 40 hours per week; the salary range for this position is at least $135,000 to $190,000 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 H062026Q.