Lead Quantitative Risk & Model Analytics Manager

Bank of America; New York (NY); On-site; USD 160,000 - 227,000; Full time

Job summary

Bank of America seeks a senior Quantitative Risk Manager to lead a team in developing and validating analytics and models for key risk types, ensuring governance and model performance across portfolios.

The role requires expert knowledge of risk concepts, strong Python/SQL skills, and experience communicating outcomes to stakeholders and regulators. In-office collaboration is emphasized with flexible role-specific arrangements.

Qualifications

• Master’s degree in related field or equivalent work experience.
• 5-10 years of experience in the Risk/Finance or related discipline.
• Proven experience in a related quantitative occupation.
• Experience working with Python, Excel, and SQL scripting.
• Strong documentation skills.

Responsibilities

• Lead a quantitative team with model coverage of specified focus areas and oversee stakeholder engagement, including audit/regulatory exam prep.
• Set priorities related to quantitative modelling in line with the bank’s strategy.
• Identify improvements through reviews of model development/validation tasks and documentation.
• Maintain oversight of model development and model risk management to support business requirements.
• Provide methodological, analytical, and technical guidance for development/validation projects.
• Communicate submission and validation outcomes with stakeholders and senior management.

Skills

Business Acumen

Critical Thinking

Regulatory Relations

Talent Development

Technical Documentation

Policies Procedures and Guidelines

Project Management

Risk Analytics

Risk Management

Stakeholder Management

Drives Engagement

Inclusive Leadership

Risk Modeling

Strategic Thinking

Written Communications

Education

Master's degree in related field

Tools

Python

Excel

SQL scripting

Job description

Bank of America seeks a senior Quantitative Risk Manager to lead a team in developing and validating analytics and models for key risk types, ensuring governance and model performance across portfolios.

The role requires expert knowledge of risk concepts, strong Python/SQL skills, and experience communicating outcomes to stakeholders and regulators. In-office collaboration is emphasized with flexible role-specific arrangements.