Quantitative Risk Analyst: Stress Testing & Data Analytics

Bank of America; United States; On-site; USD 85,000 - 120,000; Full time

Job summary

Bank of America is seeking a candidate for a role focused on model development and quantitative analytics. You will support AML modeling with data analysis and conduct market risk stress testing.

The ideal candidate will have a Master’s degree and strong programming skills (R, Python, etc.). You will independently conduct projects and collaborate with teams to enhance model performance and risk measurement.

The position supports bank strategy and requires critical thinking combined with the ability to analyze large datasets.

Qualifications

• Minimum 2 years of experience in model development, statistical work, or data analytics.
• Create compelling stories using data, recommend conclusions supported by data.

Responsibilities

• Perform end‑to‑end market risk stress testing and analyze results.
• Independently conduct quantitative analytics and modeling projects.
• Provide guidance on modeling and validation projects.

Skills

Strong programming skills (R, Python, SAS, SQL)

Critical Thinking

Quantitative Development

Risk Analytics

Adaptability

Education

Master’s degree in a related field

Tools

Alteryx

Tableau

Job description

Bank of America is seeking a candidate for a role focused on model development and quantitative analytics. You will support AML modeling with data analysis and conduct market risk stress testing.

The ideal candidate will have a Master’s degree and strong programming skills (R, Python, etc.). You will independently conduct projects and collaborate with teams to enhance model performance and risk measurement.

The position supports bank strategy and requires critical thinking combined with the ability to analyze large datasets.