Bank of America
Quantitative Engineer
$90K–$156K
Jersey City · Full-time · Posted Sep 22, 2026
- Experience
- At least 1–2 years relevant professional experience, or evidence of personal projects and endeavors demonstrating coding and problem-solving.
- Education
- 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.
About the job
Designs and implements reusable, scalable software and quantitative capabilities for Global Risk data, models, and testing.
What you'll do
- Build and enhance performant big-data pipelines, models, tests, and software components for risk and regulatory needs.
- Work with modelers, risk managers, technologists, and other stakeholders to define data and analytics requirements.
- Source and evaluate modeling data, and produce technical documentation for internal and regulatory purposes.
What they ask for
- Bachelor’s degree in Computer Science, a closely related field, or a degree where software engineering was a key focus; or equivalent work experience.
- At least 1–2 years of relevant professional experience, or evidence of personal projects and endeavors demonstrating coding and problem-solving.
- Strong programming skills and a solid understanding of software development lifecycle principles.
- Candidates should meet all or a subset of the listed technical skills; at least one of the specified additional skills is expected.
Nice to have
- At least two of the listed additional skills are preferred.
- Exposure to quantitative or financial modeling is a plus, but not required.
Pay
$90,000.00 - $155,500.00 USD annualized salary (base salary)
Tools
Python, Pandas, Spark, PySpark, Hadoop, Hive, React, Angular
AI focus
Applies quantitative methods, modeling, data analytics, machine learning, and statistics to develop business solutions; designs and implements models and tests.
Model-written summary · the original posting is authoritative