Quantitative Data & AI Engineer

Bank of America; Charlotte (NC); On-site; USD 90,000 - 156,000; Full time

Job summary

Bank of America is seeking a skilled software engineer for Global Risk Analytics (GRA). The role focuses on designing, developing, testing, and implementing modular, scalable data quality tools and analytics for risk management and regulatory needs.

You will collaborate with modelers, risk managers, and technologists to shape data and analytics capabilities, applying AI patterns and governance to ensure robust, auditable solutions across large datasets.

Qualifications

• Bachelor's degree or higher in Mathematics, CS, Statistics, Engineering, Operations Research or Data Science.
• Minimum 2 years of software engineering experience in Quantitative Finance or related industry.
• Experience with Python and modern SDLC practices is required.

Responsibilities

• Apply quantitative methods to meet line of business, risk management and regulatory requirements.
• Understands financial data: schemas, flow, size, data issues, data controls, etc.
• Builds performant big data pipelines.
• Uses programming skills and SDLC knowledge to deliver high quality code for model and testing processes.
• Collaborates with stakeholders across the Bank to understand modeling and testing processes and requirements.

Skills

Critical Thinking

Data Modeling

Process Effectiveness

Risk Modeling

Test Engineering

Influence

Oral Communications

Prioritization

Relationship Building

Written Communications

Attention to Detail

Change Management

Education

Bachelor's degree in Mathematics, Computer Science, Statistics, Process/Mechanical Engineering, Operations Research, Data Science or equivalent

At least 2 years of relevant software engineering experience in Quantitative Finance or related industry

Tools

Python

APIs

SQL

Job description

Bank of America is seeking a skilled software engineer for Global Risk Analytics (GRA). The role focuses on designing, developing, testing, and implementing modular, scalable data quality tools and analytics for risk management and regulatory needs.

You will collaborate with modelers, risk managers, and technologists to shape data and analytics capabilities, applying AI patterns and governance to ensure robust, auditable solutions across large datasets.