Quantitative Operations Associate
Bank of America
About the Role
The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience in capacity planning, resource optimization, and/or analytics. This individual will be responsible for developing and maintaining strategic capacity models that forecast operational resource demand with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure capacity models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills.
Key Responsibilities
- Develop and maintain capacity planning and resource optimization models
- Routinely partner with Front Line Units (FLUs) to ensure model accuracy
- Conduct model production and performance presentations with executive leadership
- Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
- Assist in driving capacity modeling consistency and innovation across Resource Analytics
- Help modernize existing capacity models using advanced simulation and optimization techniques
- Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines
- Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models
- Drives horizontal consistency in model development and usage across peer groups
- Conducts routine model production and performance presentations with executive leadership
- Ensures adherence to Model Risk Management (MRM) requirements
- Supports ongoing model monitoring to improve forecasting performance and efficiency
Requirements & Tech Stack
- MS Office, particularly Excel
- Experience with Copilot
- Understanding of linear regression and time-series modeling techniques
- Understanding of simulation and operations research techniques
- Experience with SAS, Python, R, or similar statistical software
- Experience with Arena or similar discrete event simulation software
- Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
- Experience with Tableau or other data visualization software
- Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body
Qualifications
- Bachelor’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field
- 2+ years of experience in quantitative roles supporting complex functions
- Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
- Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
- Natural curiosity and drive to answer important business questions
- High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment
Desired Qualifications
- Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field
- Prior capacity or financial planning experience
Skills
- Analytical Thinking
- Business Intelligence
- Data Modeling
- Data Visualization
- Data and Trend Analysis
- Attention to Detail
- Collaboration
- Data Management
- Data Mining
- Presentation Skills
- Consulting
- Problem Solving
- Risk Management
- Stakeholder Management
- Technical Documentation
Shift: 1st shift (United States of America)
Hours Per Week: 40