Risk Data Analytics Product Owner & Reporting Lead at Federal Reserve System in New York, NY
- Company: Federal Reserve System
- Location: New York, NY
- Salary: $200K – $230K
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-01
All open roles at Federal Reserve System
Job description
Company Federal Reserve Bank of New York When you work at the New York Fed, you have the opportunity to make an impact in our communities and across the nation. Our mission-driven, curious, and dedicated colleagues apply their diverse perspectives and unique talents to support the strength of the U.S. economy and stability of the global financial system. At the Bank, we work full-time onsite with our teams. We believe being physically together allows us to draw on our collective strengths, while recognizing that the ability to work flexibly from time to time remains important to achieving our mission. Our Unique Work: The Risk Analytics & Reporting Function drives data analytics and AI-augmentation product development to improve risk management decisions across FRBNY and System stakeholders. You'll serve as a strategic thought leader and central orchestrator for the Risk Function's analytics & AI portfolio, managing use case identification & refinement, data mining & modeling, and solution prototyping using machine learning & data analytics platforms. As the lead liaison to the FRBNY AI Governance Council and the System Risk AI Community of Practice, you'll balance innovation with strategic fit, ensuring each use case advances the broader AI integration roadmap while maintaining appropriate governance and fostering knowledge sharing across the Federal Reserve System. How You’ll Make an Impact as a Risk Data Analytics Product Owner & Reporting Lead: This role serves as the analytical translator and product architect for risk profile visualization and reporting capabilities. The ideal candidate is a "data whisperer" who excels at taking initial hypotheses or business questions and transforming them into rigorous analytical problems, then seeing those problems through from initial concept to final executive presentation. This role combines analytical translation skills, technical depth in data modeling and visualization, product ownership mindset, and executive communication capabilities to enable Risk, business, and executive stakeholders to monitor vulnerabilities, identify emerging trends, and make data-informed decisions. The role encompasses the full analytical lifecycle: partnering with stakeholders to frame questions, defining data requirements, conducting exploratory data analysis, engineering features, creating visualizations, and crafting compelling narratives that translate complex findings into actionable business insights. This position works closely with risk professionals across the Federal Reserve System (FRS) to understand ambiguous business challenges, translates these into concrete analytical approaches, executes the analysis, and communicates findings through both self-service tools and targeted dashboards. The Unique Skill Sets We’re Looking For: Partner with business stakeholders to take initial hypotheses, questions, or ambiguous problems and translate them into structured analytical frameworks and data analysis approaches Lead discovery sessions with risk professionals and subject matter experts to frame the "question behind the question” and probe beyond initial requests to uncover the underlying business need and ensure analyses address root issues rather than surface symptoms Work hands-on with data sets and visualization tools (e.g., Tableau, Power BI, Python, R) to perform exploratory analysis, feature engineering and data modeling to test hypotheses and communicate findings Employ data visualization best practices and advanced analytics techniques to transform complex risk data into intuitive, actionable insights for various risk audiences (management, risk officers) Establish repeatable processes and templates for common risk analytics use cases to enable self-service reporting capabilities Conduct regular user feedback sessions, usability studies, and user acceptance testing to ensure visualization and reporting products meet the evolving needs of risk management workflows Design and develop busine
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