Quantitative Operations Associate

. Develop and maintain capacity planning, resource optimization, volume forecasting, and vendor models .

Posted 10/23/2026full-timeUnited StatesJuniorMid-LevelWebsite

Tools & technologies

PythonTableau

Key responsibilities & impact

Develop and maintain capacity planning, resource optimization, volume forecasting, and vendor models
Forecast operational resource demand to maintain optimal staffing levels across Global Operations
Partner routinely with Front Line Units (FLUs) to ensure model accuracy
Present model production and performance findings to executive leadership and key stakeholders
Evaluate opportunities and implement enhancements to capacity model inputs, processes, and outputs
Drive consistency and innovation in capacity modeling across Resource Analytics
Modernize capacity models using advanced simulation and optimization techniques
Document models and support adherence to Model Risk Management (MRM) guidelines and requirements
Monitor models to improve forecasting performance and efficiency
Drive consistency in model development and usage across peer groups

What you’ll need

Bachelor’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or another STEM field
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 communicating complex ideas clearly and concisely to key stakeholders
Natural curiosity and drive to answer important business questions
High self-motivation and ability to manage self-directed project work in a fast-paced, rapidly changing environment
Desired: Master’s degree in a listed quantitative or STEM field
Desired: Prior capacity or financial planning experience
Desired: Understanding of linear regression and time-series modeling techniques
Desired: Understanding of simulation and operations research techniques
Desired: Experience with SAS, Python, R, or similar statistical software
Desired: Experience with Arena or similar discrete event simulation software
Desired: Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
Desired: Experience with Tableau or other data visualization software
Desired: Prior banking industry analytics and modeling experience with models adhering to risk management standards

Comp & perks