Product Manager

Product ManagerPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.Job Title: Product ManagerJob Location: Will work from Chicago, IL and various unanticipated client sites and Sapient offices nationally, Telecommuting available on a hybrid basis at company discretionJob Type: Full TimeRate of Pay: $121,957.50 per Year to $128,055.38 per YearDuties:Design and maintain enterprise analytics solutions that track investment portfolio performance, risk exposure, and returns for asset management clients, ensuring the underlying data is validated and reconciled across sourcesIntegrate enterprise investment management platforms such as Aladdin, Charles River, State Street Alpha, and Bloomberg to ensure that trade records, pricing data, benchmarks, and portfolio holdings flow accurately across systemsCollaborate with investment and risk teams to translate complex financial concepts into detailed product and system requirements for engineering teamsDesign data pipeline systems that move trade and market data across investment platforms using API-based integrations via tools such as Postman, and cloud infrastructureQuery investment databases using SQL and develop dashboards in tools such as Tableau or Power BI to verify that portfolio valuations, risk figures, and performance results are accurate before they reach fund managers or compliance teamsUse project tracking tools such as JIRA to manage the product backlog, plan delivery sprints, and monitor engineering progress; document platform requirements and technical decisions in Confluence or similar tools for team referenceInvestigate and resolve issues in live production systems where financial data is incorrect, missing, or inconsistent across sources, restoring data integrity for investment and operations teams that depend on the platformMaintain and version-control product configuration files, technical specifications, and pipeline code using Git-based systems such as GitHub or Bitbucket in collaboration with engineering teamsApply financial analytics methodologies including portfolio risk analysis, performance attribution, fixed income analytics, and valuation techniques such as VaR and stress testing to define and validate investment platform requirements and outputsEvaluate emerging technologies in cloud computing, data engineering, and machine learning, and recommend solutions that can automate financial reporting workflows or improve the speed and accuracy of analytics deliveryQualifications:Experience applying investment analytics concepts including portfolio performance measurement, risk exposure metrics, valuation analytics, financial data reconciliation, and analysis of multi-asset portfolio datasetsExperience 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 dataGathering and documenting functional and technical requirements for complex portfolio risk measurement, enterprise financial analytics or investment management software solutionsDesigning, integrating, and testing REST APIs using tools such as Postman or Swagger to support API-driven data integration across financial platformsAnalyzing datasets using SQL and developing dashboards with Tableau, Power BI, or similar visualization toolsUsing JIRA or similar Agile tools for backlog management, sprint planning, and project trackingUsing Confluence or similar platforms to develop product documentation and technical specificationsInvestigating and resolving production issues including data inconsistencies, market data discrepancies, and analytics calculation errors in financial analytics platformsUsing Git-based version control systems such as GitHub, Bitbucket, or similar tools for collaborative developmentExperience applying financial analytics methodologies including portfolio risk analysis, performance attribution, fixed income analytics, derivatives valuation, Value-at-Risk (VaR), stress testing, and valuation analyticsEvaluating emerging technologies including cloud computing, data engineering frameworks, and machine learning tools to improve analytics automation and reporting workflowsAdditional information: Will work from Chicago, IL and various unanticipated client sites and Sapient offices nationally, Telecommuting available on a hybrid basis at company discretion