AI-Driven Quantitative Engineer, Risk Analytics

HITEC; Charlotte (NC); Hybrid; USD 90,000 - 156,000; Full time

Job summary

Bank of America’s Global Risk Analytics (GRA) team is seeking a software engineer focused on data, risk, and AI-enabled solutions. You will collaborate with process owners, risk managers, and technologists to design future-state technology leveraging modular data pipelines and scalable analytics.

You will apply Python, SDLC practices, and AI development patterns to automate processes, govern AI, and monitor performance while ensuring regulatory alignment and business value.

Qualifications

• Bachelor’s degree or higher in a relevant field and at least 2 years of software engineering experience.
• Experience with banking processes, risk management, and regulatory knowledge.
• Proficiency in Python and AI-enabled solution development.

Responsibilities

• Collaborate with process owners, risk managers, and technologists to assess current state processes and data.
• Design and implement future state technology solutions leveraging modular components.
• Develop scalable data pipelines and analytical tools for risk management.
• Apply AI governance, testing, and validation to ensure compliant, reliable outcomes.
• Monitor performance and optimize cost, quality, and user impact through iteration.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Software engineering

AI development

Education

Bachelor's degree or higher

Tools

Python

Job description

Bank of America’s Global Risk Analytics (GRA) team is seeking a software engineer focused on data, risk, and AI-enabled solutions. You will collaborate with process owners, risk managers, and technologists to design future-state technology leveraging modular data pipelines and scalable analytics.

You will apply Python, SDLC practices, and AI development patterns to automate processes, govern AI, and monitor performance while ensuring regulatory alignment and business value.