Quantitative Engineer - Consumer & Wholesale

Hobbsnews; Jersey City (NJ); On-site; USD 90,000 - 155,500; Full time

Benefits offered by this job

Discretionary incentive eligible

Annual discretionary award

Industry-leading benefits

Job summary

Bank of America in Jersey City is seeking a Quantitative Engineer to design and implement scalable data and analytics components for Global Risk. You will work with modelers, risk managers, and technologists to understand current state and build the future data stack—from data to logic to UI.

The role demands strong Python skills, experience with large data sets, and familiarity with big data technologies; you will develop models, tests, and documentation, delivering high-quality code and

Qualifications

• Bachelor’s degree in Computer Science or related field or equivalent work experience.
• 1–2 years of relevant professional experience or demonstrated coding projects.
• Strong programming skills (Python) and understanding of SDLC.

Responsibilities

• Apply quantitative methods to meet risk management and regulatory requirements.
• Understand financial data schemas, flow, and data quality issues.
• Build performant big data pipelines.
• Deliver high-quality code for model and testing processes.

Skills

Critical Thinking

Data Modeling

Process Effectiveness

Risk Modeling

Test Engineering

Influence

Oral Communications

Written Communications

Attention to Detail

Change Management

Education

Bachelor’s degree in Computer Science

Tools

React

Angular

JavaScript

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!

Job Description: Quantitative Engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

Responsibilities:

• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Understanding financial data: schemas, flow, size, data issues, data controls, etc.
• Building performant big data pipelines
• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
• Think outside the box of current industry standards to develop innovative approaches
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
• Source and evaluate data required for modeling and testing
• Design and develop and implement models and tests
• Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes

Required Qualifications:

• Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience
• A minimum of 1-2 years relevant professional experience or evidence of personal projects and endeavours that show a passion for coding and problem solving.
• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
• Candidates should have at least one of these following skills and preferably have at least two of these skills:-
• Strong analytical and problem-solving skills
• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
• Experience with large scale data sets with structured or unstructured data
• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
• Experience implementing process improvements and automation
• Strong Python development skills (including Pandas and related data-processing libraries).
• Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive.
• Exposure to quantitative modeling or financial modeling is a plus, but not required.
• Software engineering: modular code, software lifecycle processes, unit testing, regression testing
• Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software
• Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)

Skills:

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

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 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.
• 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.
• 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.

2 years experience