Sr. Quantitative Engineer

Bank of America • Chicago, IL

1d • $140,000 - $212,500 • Onsite

About The Position

At Bank of America, the Sr. Quantitative Engineer designs and oversees the implementation of common, reusable, and scalable software components that enable Global Risk Management’s data and analytical capabilities. Components may be domain independent, such as large-scale data quality tools, or domain specific, such as classification models for surveillance or testing frameworks for Global Markets processes.

The role works with senior modelers, risk managers, technologists, and stakeholders across the bank to understand existing capabilities and design future-state data and analytics. It combines software engineering, big data, modeling, and management skills, with work across the big data stack from data and logic through models, user interfaces, and user experience.

Global Risk Analytics develops models, analytical tools, and tests for risk and capital measurement, management, and reporting across Bank of America. It partners with Lines of Business and enterprise functions to meet internal and regulatory requirements and respond to portfolio changes, economic conditions, and emerging risks. The role supports innovation, process improvement, and automation. The position is based at Bank of America Plaza in Chicago, Illinois, is listed as first shift, and is scheduled for 40 hours per week.

Requirements

• 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.
• At least 7 years of relevant experience; the qualifications specify software engineering experience in quantitative finance or other industries.
• Strong programming skills, such as Python, and a solid understanding of software development lifecycle principles.
• Software engineering knowledge, including modular code, software lifecycle processes, unit testing, and regression testing.
• Big data knowledge, including distributed computing paradigms such as MapReduce and dataframes, and distributed software optimization.
• Strong analytical and problem-solving skills.
• Strong written, verbal, and presentation skills, including the ability to explain methodologies to senior stakeholders, auditors, and regulators.
• Ability to lead and execute enterprise-wide initiatives and influence key stakeholders.
• Ability to detect and address organizational or process weaknesses and deficiencies.
• Accountability for high-quality work, managing multiple priorities, and meeting strict deadlines.
• Organization and attention to detail.
• At least three of the following: applying quantitative methods such as modeling, data analytics, machine learning, and statistics to business solutions; experience with large structured or unstructured datasets; building user-facing applications over large datasets using technologies such as React, Angular, or JavaScript; implementing process improvements and automation.

Nice To Haves

• High intellectual curiosity.
• Experience implementing strategic process improvements and/or automation.
• A track record of challenging the status quo and driving change.

Responsibilities

• Seek opportunities to improve quality, efficiency, and processes.
• Partner with senior 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 develop capabilities that meet business, risk management, and regulatory requirements.
• Understand financial data, including schemas, flows, size, data issues, and controls.
• Build performant big data pipelines.
• Use programming skills and software development lifecycle principles to deliver high-quality code for model and testing processes.
• 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 to address changing portfolios, economic conditions, and emerging risks.
• Source and evaluate data for modeling and testing.
• Design, develop, and implement models and tests.
• Produce clear, concise, and repeatable technical documentation for models and tests for internal and regulatory purposes.

Benefits

• Industry-leading benefits.
• Access to paid time off.
• Resources and support for employees.
• Eligibility to participate in the annual discretionary incentive plan, with awards based on individual performance and behavior, line of business or group performance and contributions, and overall company success.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior