Senior Quantitative Risk & Modeling Analyst

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

Benefits offered by this job

Benefits eligible

Job summary

Bank of America is seeking a senior Quantitative Analyst in the United States (NJ Jersey City) to conduct quantitative analytics and model development for market and risk management. The role emphasizes production-grade Python, SQL, and collaboration with technology and business teams to improve model robustness and governance.

Responsibilities include stress testing, data pipelines, validation, and producing actionable insights for risk governance.

Qualifications

• Master's degree in a quantitative field or related discipline.
• 4+ years in software development, data engineering, analytics, or model operations.
• Advanced Python with production-grade delivery experience.
• Strong SQL skills for large dataset queries and validation.
• Excellent verbal and written communication skills.
• Ability to collaborate across technology, quantitative, and business teams.

Responsibilities

• Perform end-to-end market risk stress testing including scenario design and results reporting.
• Support model development and model risk management in focus areas.
• Develop Python-based solutions to automate forecasting, stress testing, and model execution.
• Create scalable data sourcing, transformation, and reporting pipelines.
• Translate business requirements into technical solutions with stakeholders.

Skills

Advanced Python

SQL

Analytical Thinking

Problem Solving

Communication

Collaboration

Data Modeling

Risk Analytics

Education

Master's in quantitative field

Tools

Tableau

Alteryx

Job description

Bank of America is seeking a senior Quantitative Analyst in the United States (NJ Jersey City) to conduct quantitative analytics and model development for market and risk management. The role emphasizes production-grade Python, SQL, and collaboration with technology and business teams to improve model robustness and governance.

Responsibilities include stress testing, data pipelines, validation, and producing actionable insights for risk governance.