Quantitative Engineer Analyst

HITEC; Jersey City (NJ); On-site; USD 68,000 - 127,000; Full time

Benefits offered by this job

Benefits eligible

In-office role (Jersey City)

Job summary

Bank of America is seeking a data-driven professional for Global Risk Analytics in Jersey City, NJ. You will design and implement technical solutions to enhance data, testing, and analytics capabilities for risk management.

Responsibilities include collaborating with stakeholders, building scalable data pipelines, and applying AI governance principles. A strong background in Python, SQL, APIs, and data engineering is expected.

Qualifications

• Bachelor's degree or above in Mathematics, CS, Statistics, Engineering, OR Data Science or equivalent.
• Demonstrated analytical thinking and problem solving.
• Strong communication skills with stakeholders.
• Experience in software engineering and AI development patterns.

Responsibilities

• Apply critical thinking and risk management to design technical solutions for business problems.
• Partner with process/data owners and stakeholders to gather requirements and explain technical concepts.
• Develop scalable analytical solutions using SDLC and AI development patterns.
• Source, validate and analyze data; design scalable data pipelines for large datasets.
• Ensure AI governance, observability, and compliance in deployed solutions.

Skills

Analytical Thinking

Communication & Stakeholder Management

Software Engineering & AI Development

Data Engineering & Analytics

Oral Communications

Written Communications

Attention to Detail

Change Management

Collaboration

Presentation Skills

Education

Bachelor's degree or above in relevant fields

Tools

Python

APIs

SQL

Databases

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. Join us!

About Us Summary

Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models, tests and analytical tools that support decision making across the bank.

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.

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

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NJ - Jersey City - 525 Washington Blvd (NJ2525)Pay and benefits informationPay range$67,500.00 - $126,500.00 annualized salary, offers to be determined based on experience, education and skill set.Predictable payThis role is compensated with a base salary and is not incentive eligible.BenefitsThis 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.1 years experience