Quantitative Operations Associate – Capacity Modeler

• Develop and maintain capacity planning and resource optimization models
• Develop and maintain volume forecasts, capacity plans, and vendor models
• Partner routinely 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 capacity model inputs, processes, and outputs
• Drive capacity modeling consistency and innovation across Resource Analytics
• Modernize existing capacity models using advanced simulation and optimization techniques
• Support documentation and adherence to Model Risk Management (MRM) guidelines and requirements
• Drive consistency in model development and usage across peer groups
• Monitor models to improve forecasting performance and efficiency

• 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
• Proficient in MS Office, particularly Excel
• Experience with Copilot
• 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 clearly and concisely 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
• First shift availability in the United States of America
• 40 hours per week
• Desired:
  Master’s degree in a related 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, specifically with models that adhere to standards set by a risk management governing body

Demonstrates expertise in capacity planning, resource optimization, and advanced modeling techniques, with a strong foundation in quantitative analysis and statistical software. Proven ability to communicate complex ideas effectively and collaborate within team-oriented environments.

• Capacity Planning
• Resource Optimization
• Statistical Software (SAS, Python, R)
• Model Risk Management (MRM)
• Data Visualization (Tableau)

• Quantitative Analysis
• Volume Forecasting
• Linear Regression
• Time-Series Modeling
• Simulation Techniques
• Operations Research
• Optimization Techniques

• Problem Solving
• Collaboration
• Communication
• Interpersonal Skills
• Self-Motivation

• Banking Industry Analytics
• Model Development
• Risk Management Standards

• MS Office (Excel)
• Copilot
• Arena
• SAS OR
• GAMS
• XPRESS
• CPLEX