Senior Quantitative Finance & Risk Analyst

Bank of America; Atlanta (GA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Bank of America is seeking a Quantitative Finance Analyst to conduct quantitative analytics and build wholesale credit risk models, including loss forecasting and behavioral scorecards. The role involves deep data analysis, model documentation, and collaboration with risk management and stakeholders to ensure compliant, scalable solutions.

Ideal candidates have a Master’s degree and 5+ years of experience in credit risk modeling, with strong programming skills in R, Python, SAS, or SQL, and the

Qualifications

• Master’s degree in Math, Economics, Statistics, Engineering, Finance, CS or similar.
• 5+ years experience developing credit risk models.
• Strong programming skills in R, Python, SAS or SQL.
• Excellent analytical and problem-solving abilities.
• Experience with cross-sectional models and production deployments.
• Ability to communicate quantitative topics to both technical and non-technical audiences.

Responsibilities

• Develop wholesale credit risk models including loss forecasting and scorecards.
• Execute in-depth analysis of wholesale credit performance and financial data.
• Prepare white papers for developed models.
• Interact with model risk management and address concerns.
• Support post-implementation monitoring and stakeholder communications.
• Possess strong quantitative/analytic skills and drive modeling projects.

Skills

Programming skills

Analytical skills

Communication

Leadership

Stakeholder management

Problem solving

Time management

Team collaboration

Presentation skills

Attention to detail

Education

Master's degree

Tools

R

Python

SAS

SQL

Hadoop

LaTeX

Alteryx

Tableau

MicroStrategy

Job description

Bank of America is seeking a Quantitative Finance Analyst to conduct quantitative analytics and build wholesale credit risk models, including loss forecasting and behavioral scorecards. The role involves deep data analysis, model documentation, and collaboration with risk management and stakeholders to ensure compliant, scalable solutions.

Ideal candidates have a Master’s degree and 5+ years of experience in credit risk modeling, with strong programming skills in R, Python, SAS, or SQL, and the