As a Data Scientist – Risk Analytics & AI Strategy Lead at the Federal Reserve Bank of New York, you will join the Risk Analytics & Reporting Function and serve as a strategic thought leader for the analytics and AI portfolio. Your responsibilities include identifying and refining data analytics and AI use cases, collaborating with data engineers to develop advanced models for risk prediction and anomaly detection, and building prototype solutions using internal tools. You will also act as the lead liaison to the System Risk AI Community of Practice, ensuring alignment with system-wide initiatives while fostering knowledge sharing. The role requires hands-on coding proficiency in Python (PyTorch, TensorFlow), R, and SQL, expertise in agentic AI concepts, and strong communication skills to translate technical insights for various stakeholders. This position involves working within a large-scale financial regulatory environment, focusing on operational risk and credit risk management.
Skills
Python
PyTorch
TensorFlow
R
SQL
Time-series analysis
Network analysis
NLP
RAG
Agentic AI
Large Language Models
Operational risk
Credit risk
Enterprise-wide control frameworks
Data-driven analysis
CI/CD
What you'll do
Manage intake, prioritization, and refinement of data analytics & AI use cases.
Design, develop, and deploy advanced statistical models for risk prediction.
Build prototype solutions for high-priority AI applications using internal tools.
Serve as lead liaison to the System Risk AI Community of Practice.
Produce materials to facilitate socialization of AI initiatives across stakeholders.
What we're looking for
Extensive hands-on experience with Python, R, SQL, and advanced analytics techniques including time-series analysis, network analysis, NLP, and RAG.
Deep understanding of operational risk, credit risk, and enterprise-wide control frameworks in financial or regulatory environments.
Proven ability to streamline complex business processes and reduce operational costs through data-driven analysis with measurable results.
Expertise in managing AI use case identification, refinement, and solution prototyping using machine learning platforms.
Strong communication skills for translating technical concepts to various stakeholders from technical teams to executives.
Ability to build networks and influence stakeholders across departments without direct authority.
Understanding of Agentic AI concepts and expertise in crafting effective prompts for Large Language Models (LLMs).
Market check
Salary context
This
$200,000–$230,000
range sits above
87%
of similar postings on FindRole.
Peer median band
$110,960–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$131,500–$198,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About The Federal Reserve
The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.
The Federal Reserve currently has
32 open roles
on FindRole.
Listed pay typically runs
$160,000–$212,700
across 27 roles with salary data.