Quantitative Engineer - AI & Data Risk Analytics

Bank of America Corporation; Florida; On-site; USD 90,000 - 155,000; Full time

Benefits offered by this job

Competitive benefits

In-office culture

Job summary

Bank of America Corporation is seeking a highly skilled professional to advance Global Risk Analytics. You will design and implement AI-enabled data solutions, collaborate with risk managers and technologists, and drive data-driven decisions across large data landscapes.

The role emphasizes governance, monitoring, and responsible AI adoption while aligning with banking regulations and functional requirements. A strong foundation in software engineering and quantitative finance is essential.

Qualifications

• Analytical thinking and structured problem solving to handle complex risk and data problems.
• Strong communication to align stakeholders and present technical concepts.
• Experience with Python, SDLC, testing, and AI-enabled solutions.
• Experience with structured and unstructured data, SQL, APIs and data integration.
• Knowledge of banking processes, risk management and regulatory requirements.

Responsibilities

• Apply critical thinking and risk management principles to design solutions.
• Partner with owners and technologists to define requirements and designs.
• Leverage SDLC and AI patterns to build scalable analytical solutions.
• Source, validate, and analyze data across large datasets.
• Implement governance and monitoring for AI-enabled solutions.

Skills

Analytical Thinking

Python

Communication

Data Engineering

AI Governance

Regulatory Knowledge

Education

Bachelor's degree

Job description

Bank of America Corporation is seeking a highly skilled professional to advance Global Risk Analytics. You will design and implement AI-enabled data solutions, collaborate with risk managers and technologists, and drive data-driven decisions across large data landscapes.

The role emphasizes governance, monitoring, and responsible AI adoption while aligning with banking regulations and functional requirements. A strong foundation in software engineering and quantitative finance is essential.