Quantitative Engineer

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

Benefits offered by this job

Discretionary incentive eligible

Annual discretionary plan

Benefits eligible

Job summary

Bank of America in Jersey City, NJ is seeking a Software Engineer for Global Risk Analytics to design, develop, test, and implement scalable data quality tools and models for risk management.

You will work with risk managers, modelers, and technologists to build data pipelines, apply quantitative methods, ensure regulatory compliance, and advance AI-enabled solutions while maintaining governance and security.

Qualifications

• Applies structured thinking, quantitative analysis, and sound judgment to solve complex business, risk, data, and technology challenges.

Responsibilities

• Collaborate with process owners, data owners, and Technology teams to assess current state and design future solutions.

Skills

Analytical Thinking & Problem Solving

Communication & Stakeholder Management

Software Engineering & AI Development

Data Engineering & Analytics

AI Governance & Performance Monitoring

Business & Regulatory Knowledge

Education

Bachelor's degree in Mathematics / CS / Statistics / Data Science

Tools

LLM platforms

Agent frameworks

RAG

MCP patterns

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 impacting 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. Join us!

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.

• 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

Global Risk Analytics (GRA) is a sub‑line of business within Global Risk Management (GRM), responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA partners with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions and emerging risks. In executing its activities, GRA drives innovation, process improvement and automation.

Job Profile Summary:

This job is responsible for building subject matter expertise in bank processes - including underlying data, flows, and controls - and driving the technology evolution in those processes including designing and implementing technical solutions leveraging modular, reusable software components 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, and to design the future state technology solutions leveraging both traditional and AI based solutions.

Job expectations include becoming domain‑specific subject matter expert in bank processes and data, and applying a combination of software engineering, big data, data science and risk management skills to drive technical solution implementation and automate processes.

• Analytical Thinking & Risk Management: Apply critical thinking, sound judgment, risk management principles to understand business processes, controls, and risks to determine 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, influence outcomes, communicate technical designs, and impact of solutions to audiences ranging from practitioners to senior executives.
• Solution Development & Engineering: Leverage programming expertise, software development lifecycle (SDLC) principles, and AI development patterns to design, build, document, and deploy 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, and enhance the firm’s data architecture.
• AI Governance & Operational Excellence: Implement governance, security, observability, and auditability controls for AI-enabled solutions while continuously monitoring performance, driving process optimization, and enhancing 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) At least 2 years of relevant experience in software engineering in Quantitative Finance or other industries

Required Skills:

• Analytical Thinking & Problem Solving: Applies structured thinking, quantitative analysis, and sound judgment to solve complex business, risk, data, and technology challenges while driving continuous improvement and innovation.
• Communication & Stakeholder Management: Effectively communicates complex technical concepts to different audiences and able to build strong partnerships across stakeholders.
• Software Engineering & AI Development: Demonstrates proficiency in Python and software development best practices, including SDLC, testing frameworks, design patterns, performance optimization, and the development of AI‑enabled solutions using modern LLM platforms, agent frameworks, RAG, and MCP patterns.
• Data Engineering & Analytics: Strong experience working with structured and unstructured data, SQL, APIs, and databases to source, analyze, and integrate data while solving complex analytical problems at scale.
• AI Governance & Performance Monitoring: Applies responsible AI practices and evaluates AI solution performance through monitoring, testing, reliability measurement, scalability assessments, and continuous optimization of cost, quality, and user outcomes.
• Business & Regulatory Knowledge: Demonstrates knowledge of banking processes, risk management principles, and regulatory requirements, applying business context to deliver effective and compliant solutions.

Skills:

• Critical Thinking
• Data Modeling
• Process Effectiveness
• Risk Modeling
• Test Engineering
• Influence
• Oral Communications
• Prioritization
• Relationship Building
• Written Communications
• Attention to Detail
• Change Management

Hours Per Week:

Hours Per Week: 40 Travel Required: No Pay Transparency details US - NJ - Jersey City - 525 Washington Blvd (NJ2525) Pay and benefits information Pay range $90,000.00 - $155,500.00 annualized salary, offers to be determined based on experience, education and skill set.

Benefits:

• Discretionary incentive eligible
• This role is eligible to participate in the annual discretionary plan.
• Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
• 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.

Privacy Statement: https://careers.bankofamerica.com/en-us/privacy-notice

Pay Transparency: https://careers.bankofamerica.com/en-us/pay-transparency

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.

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.

Partnering Locally

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

Our Values

Learn about our four values that represent what we believe.

At Bank of America, we’re creating real, meaningful relationships with individuals, businesses and communities to help them focus on what matters most. We serve approximately 66 million consumer and small business clients, using our skills and expertise to help make their lives better. We are committed to attracting and retaining top talent around the world to ensure we continue to deliver together for our customers, clients and communities. Along with taking care of our customers, we want to be a great place for people to work, and we strive to create an environment where all employees have the opportunity to achieve their goals.