Quantitative Operations Associate – Volume & Capacity Modeler-global Operations

Bank of America Bank of America · Banking · Charlotte, United States +5

Develops quantitative/analytic models and applications for risk management, focusing on operations/data management policies and strategies. The role involves developing and maintaining strategic volume forecasting and capacity planning models to optimize staffing levels, and ensuring models adhere to Model Risk Management (MRM) standards. Requires experience in time-series forecasting, capacity planning, simulation modeling, and/or operations research.

What you'd actually do

  1. Develop and maintain volume forecasting, capacity planning, and resource optimization models
  2. Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
  3. Assist in driving volume and capacity modeling consistency and innovation across the team
  4. Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
  5. Conduct routine model production and performance presentations with executive leadership

Skills

Required

  • Bachelor’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • 2+ years of experience in quantitative roles modeling complex systems
  • Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience
  • Proficient in MS Office, particularly Excel
  • 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
  • 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

Nice to have

  • Master’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • Prior operational volume forecasting, capacity planning, or financial planning experience
  • Experience with Tableau or other data visualization software
  • Data mining experience using SQL/SAS querying
  • Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body

What the JD emphasized

  • Model Risk Management (MRM) standards
  • quantitative roles modeling complex systems
  • linear regression and time-series modeling, discrete event simulation, and optimization techniques
  • SAS, Python, R, or similar statistical software
  • Arena or similar discrete event simulation software
  • SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software