Data Scientist – Risk Analytics & AI Strategy Lead

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 Data Scientist – Risk Analytics & AI Strategy Lead:  

Strategic AI Use Case Identification & Refinement– Manage intake, prioritization, and refinement of data analytics & AI use cases while conducting structured workshops to identify opportunities, ensuring alignment with FRBNY and System-wide AI strategy. 

Data Mining & Modeling – Collaborate with data engineers to design, develop, and deploy advanced statistical and machine learning models for risk prediction and anomaly detection, while identifying and engineering Key Risk Indicators from diverse data sets. 

 

Solution Prototyping – Leverage internal tools to build prototype solutions for prioritized use cases while leading proof-of-concept development for selected high-priority AI applications. 

 

System Community of Practice Liaison– Serve as the lead liaison to the System Risk AI CoP, ensuring internal risk requirements are prioritized in system-wide AI initiatives while fostering knowledge sharing across the Federal Reserve System. 

 

Executive Socialization & Innovation Culture – Produce materials that facilitate socialization of AI initiatives for various stakeholders while fostering an environment of innovation within the Risk Function by encouraging exploration of technologies to automate manual risk functions. 

 

The Unique Skill Sets We’re Looking For:  

• Hands-on coding proficiency in Python (PyTorch, TensorFlow), R, and SQL with experience in advanced techniques including time-series analysis, network analysis, NLP, and RAG 

• Understanding of Agentic AI concepts and expertise in crafting effective prompts for Large Language Models (LLMs) 

• Understanding of operational risk, credit risk, and enterprise-wide control frameworks within large-scale financial or regulatory environments 

• Demonstrated ability to streamline complex business processes and reduce operational spend through data-driven analysis with measurable results 

• Exceptional communication skills to translate complex technical concepts across audiences from technical teams to executives 

• Ability to build networks and i