Quantitative Engineer: AI-Driven Risk & Data Pipelines

Hobbsnews; Charlotte, Northern (NC, KY); On-site; USD 90,000 - 156,000; Full time

Job summary

Bank of America is seeking a Software Engineer to design, develop, test, and implement reusable software components for data quality, surveillance models, and testing frameworks across global risk analytics.

You will collaborate with modelers, risk managers, and technologists to shape data and analytics capabilities, driving automation and AI-enabled solutions within a regulated financial environment.

Qualifications

• Bachelor’s degree in a relevant field or equivalent work experience.
• At least 2 years of software engineering experience in quantitative finance or related industry.

Responsibilities

• As applies quantitative methods to meet business, risk, and regulatory needs.
• Understands financial data schemas, flows, and data quality controls.
• Builds scalable, high-performance data pipelines.
• Delivers high-quality code across model and testing processes.
• Collaborates with stakeholders to align modeling and testing requirements.
• Explores innovative approaches beyond current industry standards.
• Maintains capabilities to adapt to changing portfolios and risks.

Skills

Analytical thinking

Communication

Software engineering & AI development

Data engineering & analytics

AI governance & monitoring

Business & regulatory knowledge

Education

Bachelor’s degree in math/CS/stats/engineering

2+ years software engineering in finance/related

Job description

Bank of America is seeking a Software Engineer to design, develop, test, and implement reusable software components for data quality, surveillance models, and testing frameworks across global risk analytics.

You will collaborate with modelers, risk managers, and technologists to shape data and analytics capabilities, driving automation and AI-enabled solutions within a regulated financial environment.