Senior Quantitative Risk & Fraud Modeling Lead

Bank of America; Atlanta (GA); On-site; USD 125,000 - 210,000; Full time

Job summary

Bank of America seeks a senior quantitative analyst to conduct advanced modeling and validation for market risk. The role emphasizes stress testing, data analysis, and clear documentation, partnering with risk, model developers, and audit teams across the lifecycle.

The ideal candidate holds a Master’s degree with 7+ years of relevant experience, proficiency in Python/SAS/R, and strong communication skills to support regulatory reporting and governance.

Qualifications

• Advanced quantitative degree with 7+ years of hands-on model development or validation experience.
• Strong background in statistical modeling and AI/ML techniques.
• Experience with model evaluation metrics and regulatory guidelines.

Responsibilities

• Perform end-to-end market risk stress testing including scenario design and reporting.
• Lead planning to align quantitative work with bank strategy and priorities.
• Oversee model development/validation tasks and improve technical documentation.
• Validate fraud prevention/detection models for soundness and governance.
• Present validation results in structured reports (IAR, MVR, RAI, OMR).
• Collaborate with stakeholders across model lifecycle and regulatory teams.

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 or equivalent

Tools

Python

SAS

R

LaTeX

Job description

Bank of America seeks a senior quantitative analyst to conduct advanced modeling and validation for market risk. The role emphasizes stress testing, data analysis, and clear documentation, partnering with risk, model developers, and audit teams across the lifecycle.

The ideal candidate holds a Master’s degree with 7+ years of relevant experience, proficiency in Python/SAS/R, and strong communication skills to support regulatory reporting and governance.