Description
The Senior Data Scientist will work with large and complex datasets to develop investment-relevant metrics, risk-factor models, dashboards, and data analytics for institutional investors. The role involves statistical analysis, data modeling, simulation, advanced mathematics, SQL and Python programming, model testing and validation, and collaboration with financial analysts, engineers, and product managers. A bachelor's degree in a relevant analytical field and at least three years of data analysis and metrics-development experience are required, along with SQL and Python experience.
