Quantitative Operations Associate II- Lead Modeler
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 time series forecasting and predictive modeling. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will involve quickly gaining subject matter expertise to 1) assist with analyst onboarding and training, and 2) ensure model adherence to Model Risk Management (MRM) requirements. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, excellent verbal and written communication skills, and the ability to coach junior analysts.
Requirements
- Master’s degree in Mathematics, Statistics, Applied Economics, Industrial Engineering, Operations Research, Advanced Analytics, other STEM field; or equivalent experience.
- 5+ years of experience in quantitative roles modeling complex systems.
- Fundamental understanding of linear regression, time series, and other predictive modeling techniques, both through education and professional experience.
- Proficient in MS Office, particularly Excel and Copilot.
- Proficient in SAS, Python, or R.
- 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.
- Prior Banking industry analytics and modeling experience, specifically with developing models that adhere to standards set by a risk management governing body.
Nice To Haves
- Prior operational volume forecasting, capacity planning, or financial planning experience.
- Experience with Arena or similar discrete event simulation software.
- Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software.
- Tableau or other data visualization software experience.
- Data mining experience using SQL/SAS querying.
- Fundamental understanding of simulation and operations research techniques (discrete event simulation, Monte Carlo simulation, queuing theory, Markov chain modeling, optimization, etc.), both through education and professional experience.
Responsibilities
- Develop and maintain volume forecasting, capacity planning, and resource optimization models
- Research and implement new predictive modeling and operations research methodologies
- Assist in driving forecasting and capacity modeling consistency and innovation across team
- Routinely partner with Front Line Units (FLUs) to ensure model accuracy
- Conduct model production and performance presentations with executive leadership
- Assist with documentation and other efforts to adhere to Model Risk Management (MRM) requirements
- Serve as volume forecasting subject matter expert to help with analyst onboarding and training across Resource Analytics
- Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models using advanced mathematical/statistical techniques
- Drives horizontal consistency in model development, visualization, and usage across peer groups
- Conducts routine model production and performance presentations with executive leadership
- Ensures adherence to Model Risk Management (MRM) requirements
- Supports ongoing model monitoring to improve forecasting performance and efficiency
- Evaluates new opportunities and implement changes to improve model lifecycle processes
- Demonstrates ability to operate independently, and ability train/mentor team members as needed
Benefits
- Access to paid time off
- Resources and support to our employees
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
