Quantitative Operations Associate- Capacity Modeler

Bank of AmericaChicago, IL
$84,600 - $130,800Onsite

About The Position

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.

Requirements

  • Bachelor’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM fields or equivalent experience.
  • 2+ years of experience in quantitative roles supporting complex functions.
  • Proficient in MS Office, particularly Excel
  • Experience with Copilot
  • Ability to work in a collaborative environment with strong aptitude for problem solving and collaboration.
  • Effective communication and people 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.

Nice To Haves

  • Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field
  • Prior capacity or financial planning experience
  • 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

Responsibilities

  • Develop and maintain volume forecasting, capacity planning, and resource optimization models
  • Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
  • Assist in driving volume and capacity modeling consistency and innovation across the team
  • Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
  • Conduct routine model production and performance presentations with executive leadership
  • Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
  • 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
  • Ensures adherence to Model Risk Management (MRM) requirements
  • Supports ongoing model monitoring to improve forecasting performance and efficiency

Benefits

  • Access to paid time off
  • Resources and support to our employees
  • Discretionary incentive eligible
  • Annual discretionary award based on individual performance, line of business performance, and overall company success.
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