Quantitative Risk Modeling Analyst

Bank of America; Newark (DE); On-site; USD 120,000 - 180,000; Full time

Job summary

Bank of America is seeking a Quantitative Finance Analyst to conduct end-to-end market risk analysis and develop wholesale credit risk models. You will work with risk, technology, and business partners to design systems and documentation for model development and validation, applying advanced analytics and ML techniques as needed.

Ideal candidates hold a Master’s degree with 5+ years in credit risk modeling, strong programming skills, and the ability to communicate complex results to senior

Qualifications

• Master's degree in a related field or equivalent work experience.
• 5+ years of professional experience developing credit risk models.
• Strong programming skills (R, Python, SAS, SQL) or equivalent.
• Ability to communicate quantitative topics to both technical and non-technical audiences.
• Experience with cross-sectional models and model production environments.

Responsibilities

• Develop wholesale credit risk models including loss forecasting and scorecards.
• Conduct in-depth analysis of wholesale credit performance and financial data.
• Prepare white papers for developed models and communicate findings to stakeholders.
• Support post-implementation monitoring and remediation of model findings.
• Interact with model risk management and senior stakeholders on validation outcomes.
• Design, develop, and apply scalable ML/AI solutions for risk modeling.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Risk Management

Data Modeling

Data and Trend Analysis

Process Performance Measurement

Research

Written Communications

Education

Master's degree in related field or equivalent

Tools

Alteryx

Tableau

MicroStrategy

LaTeX

Hadoop

Job description

Bank of America is seeking a Quantitative Finance Analyst to conduct end-to-end market risk analysis and develop wholesale credit risk models. You will work with risk, technology, and business partners to design systems and documentation for model development and validation, applying advanced analytics and ML techniques as needed.

Ideal candidates hold a Master’s degree with 5+ years in credit risk modeling, strong programming skills, and the ability to communicate complex results to senior