Quantitative Engineer: AI, Data & Risk Analytics

Bank of America; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Bank of America in the United States is seeking a Global Risk Analytics specialist to become a domain expert in bank processes, data, and controls, driving technology evolution and modular software solutions across GRM. You will collaborate with risk managers, process owners, and technologists to assess current state, design the future state technology, and implement automated processes using AI.

Ideal candidates combine software engineering, big data, data science, and risk management skills to

Qualifications

• Bachelor’s degree in Mathematics, Computer Science, Statistics, or related field.
• At least 2 years of relevant software engineering experience in Quantitative Finance or related industries.
• Strong knowledge of banking processes, risk management, and regulatory requirements.
• Proficiency in Python and software development best practices, including testing and SDLC.

Responsibilities

• Apply critical thinking and risk management principles to design technical solutions.
• Partner with process owners, data owners, tech teams to define requirements and communicate designs.
• Design, build, document, and deploy scalable analytical solutions using AI patterns.
• Source, validate, and analyze data; design scalable data pipelines.
• Implement governance and monitoring for AI-enabled solutions and ensure responsible AI practices.

Skills

Python

SDLC

AI development

SQL

Data analysis

Regulatory knowledge

Communication

Stakeholder management

Education

Bachelor’s degree in Mathematics, Computer Science, Statistics, or related field

Tools

LLM platforms

Agent frameworks

RAG

MCP patterns

Job description

Bank of America in the United States is seeking a Global Risk Analytics specialist to become a domain expert in bank processes, data, and controls, driving technology evolution and modular software solutions across GRM. You will collaborate with risk managers, process owners, and technologists to assess current state, design the future state technology, and implement automated processes using AI.

Ideal candidates combine software engineering, big data, data science, and risk management skills to