Quantitative Engineer: Data & AI Risk Analytics

Hobbsnews; Charlotte, Northern (NC, KY); Hybrid; USD 68,000 - 127,000; Full time

Job summary

Bank of America is seeking a software and data analytics professional to design, develop, test, and implement reusable data quality tools and scalable analytics across large datasets for risk management. You will work with modelers, risk managers, and technologists to shape the future state of data and analytics within Global Risk Analytics.

Responsibilities include applying quantitative methods, building data pipelines, and ensuring governance and compliance of AI-enabled solutions while

Qualifications

• Bachelor’s degree in Mathematics, Computer Science, Statistics, OR equivalent work experience.
• Strong programming skills (Python) and exposure to AI development patterns.
• Experience with structured and unstructured data, SQL, APIs, and databases.

Responsibilities

• Apply critical thinking and risk management principles to design technical solutions.
• Engage with process owners, data owners, and technology teams to gather requirements.
• Develop scalable analytical solutions using SDLC and AI patterns.
• Source, validate, and analyze data to build scalable pipelines and insights.
• Understand AI governance, security, observability, and governance controls for AI-enabled solutions.

Skills

Analytical Thinking & Problem Solving

Communication & Stakeholder Management

Software Engineering & AI Development

Data Engineering & Analytics

Education

Bachelor’s degree or higher in relevant fields

Tools

Python

SQL

Job description

Bank of America is seeking a software and data analytics professional to design, develop, test, and implement reusable data quality tools and scalable analytics across large datasets for risk management. You will work with modelers, risk managers, and technologists to shape the future state of data and analytics within Global Risk Analytics.

Responsibilities include applying quantitative methods, building data pipelines, and ensuring governance and compliance of AI-enabled solutions while