Strategic Quant Analytics & Risk Modeling Lead

Bank of America; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Bank of America is seeking a quantitative analytics professional to lead end-to-end market risk stress testing, develop models, and guide analytical initiatives across business units. The role involves collaboration with technology teams, senior management, and stakeholders to communicate validation outcomes and drive risk insights.

The ideal candidate will have strong Excel/analytic skills, experience with regulatory frameworks like CECL/CCAR, and a track record in risk analytics and modeling.

Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, Business, or related field.
• Masters in related subject is a plus.
• Progress toward CFA is a plus.

Responsibilities

• Performs end-to-end market risk stress testing including scenario design, implementation, results consolidation and reporting.
• Leads planning to set quantitative work priorities aligned with the bank's strategy.
• Identifies improvements in model development or validation tasks and provides technical feedback.
• Maintains oversight of model development and risk management to support requirements.
• Leads methodological, analytical, and technical guidance for development/validation projects.
• Works with stakeholders and senior management on submission and validation outcomes.
• Performs statistical analysis on large datasets using qualitative and quantitative methods.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Risk Management

Test Engineering

Data Modeling

Data and Trend Analysis

Process Performance Measurement

Research/Written Communications

Education

Master’s degree in related field

Bachelor’s degree in Finance, Accounting, Economics, Business, or related field

Progress toward CFA

Tools

Tableau

SQL

Python

Job description

Bank of America is seeking a quantitative analytics professional to lead end-to-end market risk stress testing, develop models, and guide analytical initiatives across business units. The role involves collaboration with technology teams, senior management, and stakeholders to communicate validation outcomes and drive risk insights.

The ideal candidate will have strong Excel/analytic skills, experience with regulatory frameworks like CECL/CCAR, and a track record in risk analytics and modeling.