Quantitative Finance Analyst: Operational Risk & Modeling

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

Job summary

Bank of America in Charlotte, NC is seeking a Quantitative Finance Analyst to conduct quantitative analytics and modeling on operational risk within the Risk Analytics team. You will develop models, document methodologies, and collaborate with risk managers, model validation, and technology teams to support stress testing and capital estimation.

The role emphasizes strong programming, data analysis, and communication skills to convey quantitative topics to non-technical audiences.

Qualifications

• Master’s degree in a related field or equivalent work experience.
• 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD.

Responsibilities

• Performs end-to-end market risk stress testing including scenario design and results analysis.
• Supports planning to align quantitative work with bank strategy.
• Identifies improvements through reviews of model development and validation tasks.
• Supports model development and model risk management to meet business requirements.
• Provides methodological and analytical guidance to influence development directions.
• Communicates submission and validation outcomes with stakeholders and senior management.
• Performs statistical analysis on large datasets using qualitative and quantitative methods.

Skills

Quantitative Analytics

Risk Modeling

Data Analysis

Programming

Technical Documentation

Stakeholder Communication

Model Validation

Problem Solving

Data Modeling

Risk Management

Education

Master's degree or equivalent

Job description

Bank of America in Charlotte, NC is seeking a Quantitative Finance Analyst to conduct quantitative analytics and modeling on operational risk within the Risk Analytics team. You will develop models, document methodologies, and collaborate with risk managers, model validation, and technology teams to support stress testing and capital estimation.

The role emphasizes strong programming, data analysis, and communication skills to convey quantitative topics to non-technical audiences.