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Bank of America Logo

Senior Quantitative Engineer

Bank of America

Salary not specified
Dec 4, 2025
Phoenix, AZ, US
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Bank of America is looking to enable Global Risk Management's data and analytical capabilities by designing and overseeing common, reusable, and scalable software components.

Requirements

  • At least 7 years of relevant experience in software engineering in Quantitative Finance or other relevant industries
  • Advanced programming skills (e.g. Python) and solid understanding of Software Development Life cycle (SDLC) principles
  • Engineering solutions for large-scale structured and unstructured data sets

Responsibilities

  • designing and overseeing common, reusable, and scalable software components which are either domain independent (e.g., generic data quality tools over billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes)
  • enabling Global Risk Management's data and analytical capabilities
  • working with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics
  • Applies quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
  • Understands financial data: schemas, flow, size, data issues, data controls, etc.
  • Builds performant big data pipelines
  • Uses programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

Other

  • Seeks opportunities for consistent improvement in quality, efficiency, and processes
  • Partners effectively with senior stakeholders within Global Risk Analytics and Enterprise Independent Testing, Front Line Units, Technology, Audit and Compliance
  • Provides leadership and oversight to less experienced team members
  • Opportunity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.
  • Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.