Data Scientist

• Build and validate portfolio analytics models related to risk, attribution, and performance.
• Work with stakeholders to define data requirements around alternative and digital investment products.
• Leverage Python and data science tools to process and analyze large-scale financial data sets.
• Develop data flows using AWS (S3) and Snowflake.
• Build data visualizations and dashboards using Power BI.
• Collaborate with cross-functional team members including data engineers, product owners, and business analysts.
• Follow agile best practices with active participation in sprint planning, demos, and reviews.

Data Scientist, Portfolio Analytics – AI & Software

Data Scientist