Quantitative Engineer Analyst

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

Benefits offered by this job

Benefits eligible

Job summary

Bank of America is seeking a skilled engineer to design, develop, and implement scalable data and analytics solutions for Global Risk Management. You will collaborate with modelers, risk managers, and technologists to map current state and design the future data and analytics landscape.

The role emphasizes building domain-specific expertise in bank processes, applying software engineering, AI, and data science to automate and improve risk workflows.

Qualifications

• Analytical thinking and quantitative analysis to solve business, risk, data, and technology challenges.
• Strong communication to explain complex concepts to diverse audiences.
• Experience with software engineering and AI development patterns and tools.

Responsibilities

• Applies quantitative methods to develop capabilities that 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 key stakeholders across the Bank to understand modeling and testing business processes and requirements
• Thinks outside the box to develop innovative approaches
• Maintains and enhances capabilities over time to respond to changing portfolios and risks

Skills

Analytical Thinking

Stakeholder Management

Software Engineering

Data Engineering

AI Development

Education

Bachelor’s degree required

Tools

Python

SQL

APIs

Job description

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact.

Job Description

This job is responsible for designing, developing, testing and implementing common, reusable, and scalable software components which are either domain independent (generic data quality tools over billions of rows of data) or domain specific (classification models for surveillance or testing framework for Global Markets processes). Key responsibilities include enabling Global Risk Management's data and analytical capabilities. Job expectations include working with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics.

Key Responsibilities

• Applies quantitative methods to develop capabilities that 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 knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
• Collaborates with key stakeholders across the Bank to understand modeling and testing business processes and requirements
• Thinks outside the box of current industry standards to develop innovative approaches
• Maintains and continuously enhances capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

Job Profile Summary

This job is responsible for obtaining an understanding of bank processes - including underlying data, flows, and controls – and designing and implementing technical solutions to enhance Global Risk Management’s (GRM) data, testing, and analytical capabilities. Key responsibilities include collaborating with process owners, risk managers, and technologists to assess current state processes, underlying data, process flows and risks. Job expectations include building domain-specific expertise in bank processes and data, and applying a combination of software engineering, big data, data science and risk management skills to drive the technical solution implementation and automate processes.

Responsibilities

• Analytical Thinking & Risk Management: Apply critical thinking, sound judgment, risk management principles to understand business processes, controls, and risks to influence appropriate designs for technical solutions to business problems.
• Stakeholder Engagement & Communication: Partner with process owners, data owners, Front Line Units, Technology teams, and other stakeholders to understand business requirements and build understanding of the firms processes and technology landscape.
• Solution Development & Engineering: Leverage programming expertise, software development lifecycle (SDLC) principles, and AI development patterns to build and document scalable analytical solutions that support business objectives, regulatory requirements, and operational efficiency.
• Data Engineering & Analytics: Source, validate, and analyze data while designing scalable data pipelines and analytical solutions across large and complex datasets. Apply quantitative and analytical techniques to identify trends, assess risk.
• AI Governance & Operational Excellence: Understand governance, security, observability, and auditability control requirements for AI-enabled solutions including continuous monitoring of performance. Develop understanding on how to drive process optimization, and enhance solution effectiveness through testing, feedback loops, automation, and responsible AI adoption.

Minimum Education Requirements

• Bachelor’s degrees or above in fields including but not limited to: Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science (or equivalent work experience)

Required Skills

• Analytical Thinking & Problem Solving: Applies structured thinking, quantitative analysis, and sound judgment to solve business, risk, data, and technology challenges.
• Communication & Stakeholder Management: Effectively communicates complex technical concepts to different audiences and able to build strong partnerships across stakeholders.
• Software Engineering & AI Development: Demonstrated strong programming skills (e.g., Python), analytical and problem-solving, digital fluency, and 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.
• Data Engineering & Analytics: Experience working with structured and unstructured data, SQL, APIs, and databases to source, analyze, and integrate data while solving analytical problems.
• Skills: Analytical Thinking Critical Thinking Oral Communications Prioritization Written Communications Attention to Detail Change Management Collaboration Presentation Skills
• Minimum Education Requirement: Bachelor’s degree in related field or equivalent work experience

Shift

1st shift (United States of America)

Hours Per Week

40

Pay and Benefits Information

Pay Transparency details US - NJ - Jersey City - 525 Washington Blvd (NJ2525) Pay and benefits information

Salary

Pay range $67,500.00 - $126,500.00 annualized salary, offers to be determined based on experience, education and skill set.

Predictable Pay

This role is compensated with a base salary and is not incentive eligible.

Benefits

• This role is currently benefits eligible.
• We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Company Culture

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference.

Partnering Locally

Learn about some of the ways Bank of America is making a difference in the communities we serve.

Global Impact

Learn about the six areas that guide Bank of America’s efforts to help make financial lives better for customers, clients, communities and our teammates.

Opportunity and Inclusion

Each employee brings unique skills, background and opinions. We see opportunity and inclusion as our platform for innovation and a key component in our success.

Our Values

Learn about our four values that represent what we believe.