Quantitative Operations Associate

Bank of America•Tampa, FL

3d•Onsite

About The Position

The Quantitative Operations Associate develops and maintains strategic capacity models that forecast operational resource demand and support optimal staffing across Global Operations. The role is part of the Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management. It also supports compliance with Model Risk Management (MRM) standards and helps modernize existing capacity models through advanced simulation and optimization techniques. The position calls for strong quantitative skills and experience in capacity planning, resource optimization, or analytics, along with the ability to model complex operational systems. The associate partners with Front Line Units to support model accuracy, evaluates opportunities to improve model inputs, processes, and outputs, and presents model production and performance findings to executive leadership. Bank of America describes its workplace as committed to an in-office culture, with role-specific flexibility based on responsibilities and business needs.

Requirements

Bachelor’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or another STEM field.
At least 2 years of experience in quantitative roles supporting complex functions.
Proficiency in MS Office, particularly Excel.
Experience with Copilot.
Ability to work in a team-oriented environment, with strong problem-solving and collaboration aptitude.
Strong communication and interpersonal skills, including the ability to explain complex ideas clearly and concisely to key stakeholders.
Natural curiosity and drive to answer important business questions.
Self-motivation and ability to manage self-directed project work in a fast-paced, rapidly changing environment.

Nice To Haves

Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or another 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, particularly with models governed by risk management standards.

Responsibilities

Develop and maintain line-of-business models, including volume forecasts, capacity plans, and vendor models.
Develop and maintain capacity planning and resource optimization models.
Partner routinely with Front Line Units to ensure model accuracy.
Conduct model production and performance presentations with executive leadership.
Evaluate opportunities and implement enhancements to capacity model inputs, processes, and outputs.
Drive consistency and innovation in capacity modeling across Resource Analytics and peer groups.
Modernize existing capacity models using advanced simulation and optimization techniques.
Assist with documentation and other efforts to adhere to Model Risk Management requirements.
Support ongoing model monitoring to improve forecasting performance and efficiency.