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Bank of America
·
July 22, 2026
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Quantitative Engineer - Consumer & Wholesale

Jersey City, NJ
Full-time
Onsite
$90K/yr - $156K/yr
Entry Level
Bank of America is committed to helping make financial lives better through every connection, focusing on responsible growth and inclusivity. The Quantitative Engineer role involves designing and implementing software components that enhance data and analytical capabilities, working collaboratively with various stakeholders to develop innovative solutions.
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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

Qualification

Required

  • 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)

Preferred

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.
  • 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.
Bank of America is a financial institution that offers credit cards, home loans, and auto loan services.
Glassdoor
3.9
Founded in 1998
Charlotte, North Carolina, USA
10001+ employees
https://www.bankofamerica.com