Quantitative Engineer Analyst

Bank of America • Charlotte, NC

17h • Onsite

About The Position

At Bank of America, the Quantitative Engineer Analyst works within Global Risk Analytics (GRA), a sub-line of business in Global Risk Management (GRM). GRA provides quantitative capabilities supporting global risk management and capital management, and develops risk and capital models, tests, and analytical tools to support decision-making across the bank.

The role involves understanding bank processes, including underlying data, flows, and controls, and designing and implementing technical solutions that enhance GRM’s data, testing, and analytical capabilities. The analyst collaborates with process owners, risk managers, technologists, data owners, Front Line Units, and other stakeholders to assess processes, data, process flows, risks, and technical requirements. The role applies software engineering, big data, data science, and risk management skills to implement technical solutions and automate processes.

The position is based at 525 Washington Blvd in Jersey City, New Jersey. Bank of America describes an in-office culture intended to support collaboration, engagement, and career development, with flexibility based on role responsibilities and business needs. The role is 40 hours per week and requires no travel. The annualized salary range is $67,500 to $126,500, determined based on experience, education, and skill set. Compensation is base salary and is not incentive eligible; the role is currently benefits eligible.

Requirements

• Bachelor’s degree or above in a field such as Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, or Data Science, or equivalent work experience.
• Strong programming skills, for example in Python.
• Structured analytical thinking, quantitative analysis, problem-solving, and sound judgment in addressing business, risk, data, and technology challenges.
• Ability to communicate complex technical concepts to different audiences and build partnerships across stakeholders.
• Experience working with structured and unstructured data, SQL, APIs, and databases to source, analyze, and integrate data while solving analytical problems.
• Exposure to AI technologies, including large language models (LLMs), agentic AI concepts, or AI-assisted development tools, through coursework, internships, personal projects, or professional experience.
• Skills include analytical thinking, critical thinking, oral and written communications, prioritization, attention to detail, change management, collaboration, and presentation skills.

Responsibilities

• Apply critical thinking, sound judgment, and risk management principles to understand business processes, controls, and risks and inform appropriate technical solution designs.
• Partner with process owners, data owners, Front Line Units, Technology teams, and other stakeholders to understand business requirements and the firm's processes and technology landscape.
• Use programming expertise, software development lifecycle principles, and AI development patterns to build and document scalable analytical solutions supporting business objectives, regulatory requirements, and operational efficiency.
• Source, validate, and analyze data, and design scalable data pipelines and analytical solutions for large and complex datasets.
• Apply quantitative and analytical techniques to identify trends and assess risk.
• Understand governance, security, observability, and auditability control requirements for AI-enabled solutions, including continuous performance monitoring.
• Develop understanding of process optimization and improve solution effectiveness through testing, feedback loops, automation, and responsible AI adoption.
• Build domain-specific expertise in bank processes and data and contribute to automating processes.

Benefits

• Benefits eligibility
• Access to paid time off
• Resources and support for employees
• Affordable, competitive, and flexible benefits supporting physical, emotional, and financial wellness

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level