Senior Quantitative Risk & Model Analyst

Bank of America; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

Bank of America is seeking a Quantitative Financial Analyst within Global Risk Analytics. The role focuses on developing and validating models, performing stress testing, and delivering analytic solutions for risk measurement and regulatory compliance.

You will work with FLU model owners and stakeholders to drive quantitative lifecycle processes. The ideal candidate has strong programming (Python/R), solid statistical skills, and experience in risk modeling, with a Master’s or PhD in a related

Qualifications

• Master's degree or PhD in Computer Science, Engineering, Statistics, or similar discipline.
• Experience with quantitative modeling, risk analytics, and model validation is preferred.
• Strong programming & communication skills for technical and non-technical audiences.

Responsibilities

• Perform end-to-end market risk stress testing including scenario design and reporting.
• Support planning of quantitative work priorities aligned with bank strategy.
• Contribute to model development and model risk management within focus areas.
• Provide guidance on technical documentation and strategic development directions.
• Collaborate with stakeholders and management to communicate submission and validation outcomes.
• Perform statistical analysis on large datasets and interpret results.

Skills

Python

R

Quantitative analysis

Statistical analysis

Communication skills

Stress testing

Documentation

Education

Master's or PhD in CS/Engineering/Statistics

Tools

Git

CI/CD

Automated testing

Job description

Bank of America is seeking a Quantitative Financial Analyst within Global Risk Analytics. The role focuses on developing and validating models, performing stress testing, and delivering analytic solutions for risk measurement and regulatory compliance.

You will work with FLU model owners and stakeholders to drive quantitative lifecycle processes. The ideal candidate has strong programming (Python/R), solid statistical skills, and experience in risk modeling, with a Master’s or PhD in a related