Senior Quantitative Credit Risk Analyst

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

Benefits offered by this job

Annual discretionary plan

Industry-leading benefits

Paid time off

Job summary

Bank of America Merrill Lynch has an opportunity for a Quantitative Finance Analyst within Global Risk Analytics. The role focuses on developing wholesale credit risk models, performing in-depth data analysis, and producing actionable model documentation for risk stakeholders.

The position requires advanced degree and 5+ years of experience, with strong programming in Python/SAS/SQL and experience in large data environments. Eligible for competitive pay and comprehensive benefits.

Qualifications

• Master’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline.
• 5+ years professional experience developing credit risk models.
• Strong programming skills (R, Python, SAS, SQL) and data analysis.
• Experience building cross-sectional models and production-ready implementations.
• Ability to communicate complex quantitative topics to both technical and non-technical audiences.

Responsibilities

• Develop wholesale credit risk models including loss forecasting and scorecards.
• Analyze wholesale credit performance and financial data in depth.
• Prepare white papers and present model findings to stakeholders.
• Collaborate with model risk management to address concerns and remediation efforts.
• Lead development of new models and scalable analytic processes.
• Document activities and work with technology to run deployed models.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Data Modeling

Data and Trend Analysis

Collaboration

Problem Solving

Written Communications

Education

Master’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline

Tools

Python

R

SAS

SQL

Hadoop

Alteryx

Tableau

MicroStrategy

LaTeX

Job description

Bank of America Merrill Lynch has an opportunity for a Quantitative Finance Analyst within Global Risk Analytics. The role focuses on developing wholesale credit risk models, performing in-depth data analysis, and producing actionable model documentation for risk stakeholders.

The position requires advanced degree and 5+ years of experience, with strong programming in Python/SAS/SQL and experience in large data environments. Eligible for competitive pay and comprehensive benefits.