Senior Quantitative Engineer

Bank of America

. Design and oversee common, reusable, and scalable software components for domain-independent and domain-specific applications .

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 for domain-independent and domain-specific applications
Enable Global Risk Management’s data and analytical capabilities
Work with senior modelers, risk managers, and technologists to understand current state and design future-state data and analytics
Seek consistent improvements in quality, efficiency, and processes
Partner with stakeholders in 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 line-of-business, risk-management, and regulatory requirements
Understand financial data schemas, flow, size, issues, and controls
Build performant big-data pipelines
Deliver high-quality code for model and testing processes using software development lifecycle principles
Collaborate with stakeholders across the Bank 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, or 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
Software engineering experience with modular code, software lifecycle processes, unit testing, and regression testing
Big data experience with distributed computing paradigms, such as MapReduce and dataframes, and optimizing distributed software
Basic quantitative modeling techniques, including regression, classification, and clustering
Experience implementing strategic process improvements and/or automation
Proven track record of building relationships and effectively influencing key stakeholders
Ability to detect and remediate organizational/process weaknesses and deficiencies
Ability to deliver high-quality work, balance multiple priorities, and meet strict deadlines
Strong written, verbal, and presentation creation/delivery skills for senior audiences
Willingness to challenge the status quo and drive change
Experience applying quantitative methods such as modeling, 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 technologies such as React, Angular, and JavaScript
Proven track record of leading and executing enterprise-wide initiatives
Strong communication skills for explaining methodologies to senior stakeholders, auditors, and regulators
Strong analytical and problem-solving skills
At least three of the listed quantitative methods, large-scale data, user-facing applications, and process improvement/automation skill areas
Must work first shift in the United States of America
40 hours per week

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Resources and support to make an impact and contribute to sustainable business and community growth
Opportunities to learn, grow, and make an impact
In-office culture supporting collaboration, engagement, and career development
Flexibility based on role-specific responsibilities and business needs