Capacity Planner

Job Description:

Description & Responsibilities:

Global Operations Data Management and Analytics team is looking for a motivated individual with strong quantitative skills and experience in simulation modeling, operations research, and analytics. This individual will be responsible for developing and maintaining advanced strategic capacity models that predict operational resource demand and providing recommendations to key stakeholders. In addition, the position will assist with efforts to ensure the capacity models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills

• Responsible for developing and modernizing capacity and resource optimization models using advanced simulation and optimization techniques

• Evaluating new opportunities and implementing changes for current capacity model inputs, processes, and outputs

• Design and implement efficiency metrics and insights to provide guidance to the operations and drive budgeting and business decisions

• Assist in driving capacity modeling consistency and innovation across team

• Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes

• Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Required Skills:

• Bachelor’s degree in Industrial Engineering, Mathematics, Statistics/Applied Economics, Operations Research, Advanced Analytics, or other STEM field•2+ years of experience in quantitative roles modeling complex systems

• Experience with Arena or similar discrete event simulation software

• Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software

• Proficient in MS Office

• 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

Desired Skills:

• Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Advanced Analytics, or other STEM field

• Prior capacity or financial planning/modeling experience

• Tableau or other data visualization software experience

• Data mining experience using SQL/SAS querying

• Proficient in Arena or similar discrete event simulation software

• Proficient in SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software

• Experience with SAS, Python, R, or similar

• Prior Banking industry analytics and modeling experience, specifically with developing capacity or resource optimization models that adhere to standards set by a risk management governing body

Enterprise Role Overview:

Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manage

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