Senior Quantitative Engineer

Bank of America

. Design and oversee common, reusable, and scalable software components .

Posted 10/15/2026full-timeUnited StatesSenior💰 $140,000 - $212,500 per yearWebsite

Tech Stack

Tools & technologies

AngularJavaScriptMapReducePythonReact

About the role

Key responsibilities & impact

Design and oversee common, reusable, and scalable software components
Enable Global Risk Management’s data and analytical capabilities
Work with senior modelers, risk managers, and technologists to understand current-state and future-state data and analytics
Seek continuous improvement in quality, efficiency, and processes
Partner with senior stakeholders across Global Risk Analytics, Enterprise Independent Testing, Front Line Units, Technology, Audit, and Compliance
Provide leadership and oversight to less experienced team members
Apply quantitative methods to meet business, risk management, and regulatory requirements
Understand financial data schemas, flow, size, data issues, and data controls
Build performant big-data pipelines
Deliver high-quality code for model and testing processes using software development lifecycle principles
Collaborate with stakeholders to understand modeling and testing processes and requirements
Develop innovative approaches beyond current industry standards
Maintain and enhance capabilities as portfolios, economic conditions, and emerging risks change
Source and evaluate data for modeling and testing
Design, develop, and implement models and tests
Produce clear, concise, repeatable technical documentation for internal and regulatory purposes

Requirements

What you’ll need

Bachelor’s degree in Computer Science, a closely related field, a degree from a program where software engineering was a key focus, or equivalent work experience
7+ years of relevant work experience
At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries
Strong programming skills, such as Python
Solid understanding of software development lifecycle principles
Experience with modular code, software lifecycle processes, unit testing, and regression testing
Experience with distributed computing paradigms such as MapReduce and dataframes
Experience optimizing distributed software
Experience with quantitative modeling techniques including regression, classification, and clustering
Experience implementing strategic process improvements and/or automation
Proven track record of building relationships and influencing key stakeholders
Strong written, verbal, and presentation creation and delivery skills
Strong analytical and problem-solving skills
Experience applying quantitative methods, data analytics, machine learning, and statistics to develop business solutions
Experience with large-scale structured or unstructured datasets
Experience building user-facing applications over large amounts of data using React, Angular, JavaScript, or similar technologies
Ability to explain methodologies to senior stakeholders, auditors, and regulators
Ability to lead and execute enterprise-wide initiatives
Minimum education requirement: Bachelor’s degree in related field or equivalent work experience
Willingness to work 1st shift in the United States of America
Ability to work 40 hours per week

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
Annual discretionary incentive award eligible
Benefits eligible
Paid time off
Resources and support to make an impact and contribute to sustainable growth