Quantitative Finance & AI Risk Analyst

NBMBAA; Charlotte (NC); On-site; USD 90,000 - 155,000; Full time

Benefits offered by this job

Industry-leading benefits

Discretionary annual bonus

Job summary

Bank of America is seeking a Quantitative Finance Analyst to lead data-centric AI initiatives within Global Risk Management. You will help design data architectures, prototype GenAI/LLM use cases, and prototype data pipelines with Python, Spark, and SQL.

You will collaborate with stakeholders to drive risk analytics and governance across risk domains. The role requires strong communication, hands-on coding, and the ability to translate regulatory language into technical requirements.

Qualifications

• Bachelor’s degree in computer science / engineering, Data Science or Analytics with 4+ years of relevant experience.
• Experience with risk reporting systems, data warehouses, and governance frameworks.
• Proficiency in AI/GenAI patterns, RAG, vector stores, and related data platforms.

Responsibilities

• Demonstrates knowledge of data & AI solutions, data platforms, and governance practices.
• Define target-state architectures for data platforms and governance workflows.
• Prototype UI/UX for data-centric AI solutions and guide stakeholder validation.
• Design forward-deployed AI solutions by collaborating with business stakeholders.
• Build data pipelines and API services for prototyping data & AI products.
• Operationalize governance with data contracts, lineage, and quality controls.
• Communicate submission and validation outcomes to stakeholders.
• Perform statistical analysis on large datasets and interpret results.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Written Communications

Education

Bachelor’s degree in Computer Science / Engineering / Data Science

4+ years of experience in data & AI platform/solutions

Tools

Python

Spark

SQL

Jupyter / Notebooks

Job description

Bank of America is seeking a Quantitative Finance Analyst to lead data-centric AI initiatives within Global Risk Management. You will help design data architectures, prototype GenAI/LLM use cases, and prototype data pipelines with Python, Spark, and SQL.

You will collaborate with stakeholders to drive risk analytics and governance across risk domains. The role requires strong communication, hands-on coding, and the ability to translate regulatory language into technical requirements.