Quantitative Engineer, Risk Analytics & AI

National Black MBA Association; United States; On-site; USD 90,000 - 156,000; Full time

Job summary

Bank of America is seeking a software-focused risk analytics professional to design, develop, test, and implement reusable data quality tools and analytics in Global Risk Analytics. You will work with modelers, risk managers, and technologists to shape data and analytics for surveillance and testing frameworks.

The role emphasizes scalable data pipelines, SDLC-driven development, and collaboration with stakeholders to meet regulatory requirements while advancing risk management capabilities.

Qualifications

• Bachelor’s degree or higher in math, CS, stats, OR related fields.
• At least 2 years of software engineering experience in Quantitative Finance or similar.
• Strong knowledge of Python, data pipelines, and SDLC.

Responsibilities

• Apply quantitative methods to meet risk, data, and regulatory requirements.
• Understand financial data schemas, flows, and data quality.
• Build performant big data pipelines.
• Develop high-quality code for model and testing processes.
• Collaborate with stakeholders across the Bank on modeling needs.
• Innovate beyond current industry standards to improve solutions.

Skills

Analytical thinking

Stakeholder communication

Software engineering

AI development

Data engineering

AI governance

Business knowledge

Education

Bachelor’s degree or higher

Job description

Bank of America is seeking a software-focused risk analytics professional to design, develop, test, and implement reusable data quality tools and analytics in Global Risk Analytics. You will work with modelers, risk managers, and technologists to shape data and analytics for surveillance and testing frameworks.

The role emphasizes scalable data pipelines, SDLC-driven development, and collaboration with stakeholders to meet regulatory requirements while advancing risk management capabilities.