Quantitative Data Engineer for AI & Risk Analytics

Bank of America; Charlotte (NC); On-site; USD 90,000 - 156,000; Full time

Job summary

Bank of America is seeking a senior software/data engineer to design, develop, test, and deploy reusable data tools and AI-enabled solutions that support Global Risk Management. You will work with modelers, risk managers, and technologists to shape the future state of data analytics and testing frameworks across large-scale datasets.

The role emphasizes SDLC-driven development, scalable data pipelines, and collaboration with stakeholders to enhance risk assessment and regulatory compliance.

Qualifications

• Bachelor’s degree in a related field or equivalent work experience.
• Minimum 2 years of software engineering experience in Quantitative Finance or similar.

Responsibilities

• Apply quantitative methods to meet risk, data, and regulatory requirements.
• Understand financial data schemas, flows, and controls.
• Build scalable, high-performance data pipelines.
• Deliver high-quality code for model and testing processes within SDLC.
• Collaborate with stakeholders to align modeling and testing needs.
• Develop innovative approaches beyond current industry standards.
• Maintain capabilities to adapt to changing portfolios and risks.

Skills

Analytical Thinking

Problem Solving

Communication

Software Engineering

Data Engineering

AI Development

SDLC

Python

SQL

APIs

Education

Bachelor's degree

Tools

Python

SQL

APIs

LLM platforms

Job description

Bank of America is seeking a senior software/data engineer to design, develop, test, and deploy reusable data tools and AI-enabled solutions that support Global Risk Management. You will work with modelers, risk managers, and technologists to shape the future state of data analytics and testing frameworks across large-scale datasets.

The role emphasizes SDLC-driven development, scalable data pipelines, and collaboration with stakeholders to enhance risk assessment and regulatory compliance.