Quantitative Engineer, Global Risk Analytics

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

Job summary

Bank of America is hiring for Global Risk Analytics to design and implement reusable software components that support data, testing, and analytics across GRM. You will collaborate with modelers, risk managers, and technologists to shape future data and analytics capabilities, using both traditional and AI-based solutions.

The role emphasizes governance, scalable data engineering, and automation to address evolving portfolios and regulatory requirements within an in-office culture.

Qualifications

• Bachelor’s degree or higher in a related field or equivalent work experience.
• At least 2 years of software engineering experience in Quantitative Finance or similar.
• Proficiency in Python, SDLC, testing frameworks, and AI development patterns.

Responsibilities

• Applies quantitative methods to meet business, risk, and regulatory requirements.
• Understands financial data schemas, flow, size, data issues, and controls.
• Builds scalable data pipelines and high-quality code for models and testing processes.
• Collaborates with stakeholders across the Bank to understand needs and design effective solutions.
• Develops innovative approaches beyond current industry standards.
• Maintains and enhances capabilities to adapt to changing portfolios and risks.
• Leads domain-specific data/process understanding to drive technology evolution.

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, OR Operations Research, Data Science or related field

Tools

Python

SQL

APIs

LLM platforms

Job description

Bank of America is hiring for Global Risk Analytics to design and implement reusable software components that support data, testing, and analytics across GRM. You will collaborate with modelers, risk managers, and technologists to shape future data and analytics capabilities, using both traditional and AI-based solutions.

The role emphasizes governance, scalable data engineering, and automation to address evolving portfolios and regulatory requirements within an in-office culture.