Quantitative Engineer & Risk Analytics Specialist

Bank of America; Charlotte (NC); On-site; USD 68,000 - 127,000; Full time

Job summary

Bank of America is seeking a skilled professional to design, develop, test, and implement reusable software components for data quality and surveillance model testing. You will collaborate with risk managers, technologists, and modelers to shape data and analytics capabilities for Global Risk Management.

The role emphasizes building scalable data pipelines, applying software engineering best practices, and contributing to AI governance and automation within GRM.

Qualifications

• Analytical thinking and problem solving to address risk, data, and technology challenges.
• Strong communication with stakeholders across teams to understand requirements and explain solutions.
• Proficiency in software engineering and AI development patterns, covering pipelines and model testing.

Responsibilities

• Apply quantitative thinking and risk management principles to understand business processes and controls.
• Engage process owners and data owners to capture business requirements and build shared understanding.
• Develop scalable analytical solutions using SDLC best practices and AI development patterns to support business objectives.
• Source, validate, and analyze data while designing scalable data pipelines and analytical solutions across large datasets.
• Ensure AI governance, monitoring, and continuous improvement for responsible AI adoption.

Skills

Analytical Thinking

Communication

Software Engineering

Data Engineering

Education

Bachelor’s degree or equivalent

Job description

Bank of America is seeking a skilled professional to design, develop, test, and implement reusable software components for data quality and surveillance model testing. You will collaborate with risk managers, technologists, and modelers to shape data and analytics capabilities for Global Risk Management.

The role emphasizes building scalable data pipelines, applying software engineering best practices, and contributing to AI governance and automation within GRM.