Bank of America
Sr. Quantitative Engineer
$140K–$216K
Jersey City · Senior · Full-time · Posted Oct 14, 2026
- Experience
- 7+ years of relevant work experience; qualifications specify at least 7 years in software engineering in Quantitative Finance or other industries.
- 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. Minimum education requirement: Bachelor’s degree in a related field or equivalent work experience.
About the job
Designs and oversees reusable, scalable software components, data pipelines, models, and tests that support Global Risk Management’s data and analytics capabilities.
What you'll do
- Build and enhance performant big data pipelines, models, tests, and software components.
- Work with stakeholders to shape data and analytics requirements, document solutions, and meet business, risk, and regulatory needs.
- Lead improvements and provide technical oversight to less experienced team members.
What they ask for
- Bachelor’s degree in a related field or equivalent work experience.
- At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries.
- Strong programming skills and solid understanding of software development lifecycle principles.
- Proven track record of leading and executing enterprise-wide initiatives.
Nice to have
- Experience applying quantitative methods such as modeling, data analytics, machine learning, and statistics.
- Experience with large-scale structured or unstructured data, user-facing applications, or process improvement and automation; candidates should have at least three of the listed skill areas.
Pay
$140,000.00 - $215,500.00 annualized salary (base salary)
Tools
Python, mapreduce, dataframes, React, Angular, JavaScript
AI focus
Machine learning is listed as a quantitative method that may be applied to develop business solutions.
Model-written summary · the original posting is authoritative