Quantitative Data Engineer for AI & Risk Analytics

Bank of America; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Job summary

Bank of America’s Global Risk Analytics team is seeking a data-focused professional to design and implement solutions that enhance data, testing, and analytics within risk management.

You will collaborate with process owners, risk managers, and technologists to map data flows, build scalable pipelines using Python, SQL, and AI-enabled techniques, and ensure governance and transparency throughout the lifecycle.

Qualifications

• Bachelor’s degree or higher in Mathematics, CS, Statistics, Data Science or related field.
• Experience translating business problems into analytical solutions.
• Strong programming and data engineering capabilities. <=140 chars.

Responsibilities

• Understand bank processes, data, flows, and controls to improve GRM data and analytics.
• Collaborate with process owners and technologists to design scalable data pipelines.
• Develop and document analytical solutions using Python/SQL with SDLC rigor.
• Address AI governance, security, observability, and auditability in solutions.
• Support risk management objectives and regulatory requirements through data-driven insights.

Skills

Analytical Thinking

Problem Solving

Oral Communications

Written Communications

Attention to Detail

Collaboration

Presentation Skills

Critical Thinking

Education

Bachelor’s degree or above in Mathematics, Computer Science, Statistics, Data Science (or equivalent)

Tools

Python

SQL

APIs

Job description

Bank of America’s Global Risk Analytics team is seeking a data-focused professional to design and implement solutions that enhance data, testing, and analytics within risk management.

You will collaborate with process owners, risk managers, and technologists to map data flows, build scalable pipelines using Python, SQL, and AI-enabled techniques, and ensure governance and transparency throughout the lifecycle.