Quantitative Risk Analytics Specialist

Bank of America; Charlotte (NC); On-site; USD 90,000 - 155,000; Full time

Benefits offered by this job

Discretionary incentive eligible

Benefits eligible

Job summary

Bank of America in Chicago, IL seeks a Quantitative Finance Analyst to join Global Risk Analytics. You will conduct quantitative analytics and develop risk models for Retail and GWIM, supporting CCAR/CECL regulatory frameworks.

The role emphasizes end-to-end modeling, stress testing, data analysis, and collaboration with technology teams and stakeholders to drive accurate risk insights and governance.

Qualifications

• Master's degree in Math, Economics, Statistics or related field; minimum 2 years of relevant experience.
• Strong programming in Python and SQL; experience with data analysis and model development.
• Experience with CCAR, CECL or regulated banking models is a plus.
• Ability to translate quantitative findings to business implications; strong written communication.

Responsibilities

• Perform end-to-end market risk stress testing including scenario design and reporting.
• Develop and validate quantitative models for retail and GWIM risk portfolios.
• Collaborate with Technology and Model Risk Management to support model governance.
• Prepare technical documentation and present results to stakeholders.
• Analyze large datasets and interpret findings using quantitative methods.

Skills

Python

SQL

Statistical modeling

Data analysis

Model development

Education

Master's degree in Math/Economics/Statistics

PhD in related field

Tools

Hive

Spark

PySpark

Git

JIRA

Confluence

Job description

Bank of America in Chicago, IL seeks a Quantitative Finance Analyst to join Global Risk Analytics. You will conduct quantitative analytics and develop risk models for Retail and GWIM, supporting CCAR/CECL regulatory frameworks.

The role emphasizes end-to-end modeling, stress testing, data analysis, and collaboration with technology teams and stakeholders to drive accurate risk insights and governance.