Data Analyst Manager - Model Risk Office

Overview

The Model Risk Governance - Reporting and Automation team within the Model Risk Office provides risk reporting to the enterprise and optimizes operational efficiency through the deployment of scalable, cutting-edge AI solutions. The team is transforming how the enterprise visualizes and manages model risk by replacing legacy reporting with an interactive, GenAI-centric reporting ecosystem.

Responsibilities

• Buils and deploys scalable artificial intelligence and machine learning models to automate existing model risk management processes, reporting, and controls
• Architects and deploys an interactive, conversational reporting chatbot powered by AI solutions
• Experiment with and develops advanced, multi-agent AI workflows designed to execute complex cognitive tasks
• Optimizes data integration across core systems into centralized infrastructure to create a highly accurate, audited "source of truth" for model risk metrics
• Drives current and future strategy by leveraging analytical skills
• Assists with building and using models to test and validate data
• Works with vast amounts of data in new and evolving environments
• Be a part of growing and developing our brand in new and emerging markets
• Leverage analytics to create a customer experience above our peers
• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
• Be a part of the full life cycle of projects and see end results
• Collaborate across business units
• Work with top talent in a fast-paced, entrepreneurial environment where analytics and good data are a top priority
• Experience real work-life balance, with little travel involved

Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Preferred Qualifications

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
• At least 7 years of professional data analysis work experience
• At least 4 years of experience with Python, R, Spark or SQL
• At least 1 year of experience in people management
• At least 1 year of project management experience
• At least 1 year of experience in interactive reporting tools such as Tableau or Quicksight
• At least 1 year of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment
• At least 1 year of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio).
• Proficient utilizing and developing within AWS service