AI-Driven Quantitative Finance & Risk Analyst

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

Benefits offered by this job

Discretionary incentive

Industry-leading benefits

Paid time off

Job summary

Bank of America is seeking a Quantitative Finance Analyst to lead data-centric AI solutions and risk analytics within Global Risk Management. You will design data architectures, prototype GenAI use cases, and guide stakeholders through complex data and model governance projects.

The role requires strong Python/Spark/SQL skills, experience with data platforms, and the ability to translate regulatory language into technical requirements.

Qualifications

• Bachelor’s degree in computer science, engineering, data science or analytics.
• 4+ years of experience in data & AI platform/solutions and data management (or 2+ years with a Master’s).
• Experience with risk reporting systems, data warehouses and governance frameworks.

Responsibilities

• Perform end-to-end market risk stress testing and scenario analysis.
• Support model development and model risk management.
• Communicate submission and validation outcomes to stakeholders.
• Analyze large datasets using qualitative and quantitative methods.

Skills

Data analytics

Python

Spark

SQL

Agile

Education

Bachelor’s degree in CS/Engineering/Data Science/Analytics

Master’s degree (optional) in CS/Engineering/Data Science

Tools

SQL

NoSQL

Graph data stores

Collibra

Job description

Bank of America is seeking a Quantitative Finance Analyst to lead data-centric AI solutions and risk analytics within Global Risk Management. You will design data architectures, prototype GenAI use cases, and guide stakeholders through complex data and model governance projects.

The role requires strong Python/Spark/SQL skills, experience with data platforms, and the ability to translate regulatory language into technical requirements.