Product Manager

Employer will accept a bachelor's degree in finance, systems engineering, data analytics, economics or related followed by three years of progressive, post-baccalaureate experience in the job offered or three years of progressive, post-baccalaureate experience in any occupation in which the required experience was gained Position requires: 1. Experience applying investment analytics concepts including portfolio performance measurement, risk exposure metrics, valuation analytics, financial data reconciliation, and analysis of multi-asset portfolio datasets. 2. Experience working with financial datasets and platforms including Aladdin, Charles River, State Street Alpha, Bloomberg, or similar enterprise investment systems, and trade, pricing, benchmark, and portfolio position data. 3. Gathering and documenting functional and technical requirements for complex portfolio risk measurement, enterprise financial analytics or investment management software solutions. 4. Designing, integrating, and testing REST APIs using tools such as Postman or Swagger to support API-driven data integration across financial platforms. 5. Analyzing datasets using SQL and developing dashboards with Tableau, Power BI, or similar visualization tools. 6. Using JIRA or similar Agile tools for backlog management, sprint planning, and project tracking. Using Confluence or similar platforms to develop product documentation and technical specifications. 7. Investigating and resolving production issues including data inconsistencies, market data discrepancies, and analytics calculation errors in financial analytics platforms. 8. Using Git-based version control systems such as GitHub, Bitbucket, or similar tools for collaborative development. 9. Experience applying financial analytics methodologies including portfolio risk analysis, performance attribution, fixed income analytics, derivatives valuation, Value-at-Risk (VaR), stress testing, and valuation analytics. 10. Evaluating emerging technologies including cloud computing, data engineering frameworks, and machine learning tools to improve analytics automation and reporting workflows. Will work from Chicago, IL and various unanticipated client sites and Sapient offices nationally. Telecommuting available on a hybrid basis at company discretion 6630.7427.16 Contact: In order to be considered for this posting please apply at (link removed)