Quantitative Operations Associate – Volume & Capacity Modeler-Global Operations

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Job Description:
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 Manager

Job Summary

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. 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 assist with efforts to ensure 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. Responsibilities include:

• Develop and maintain volume forecasting, capacity planning, and resource optimization models

• Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques

• Assist in driving volume and capacity modeling consistency and innovation across the team

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

• Conduct routine model production and performance presentations with executive leadership

• Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs

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

Required Skills:

• Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field

• 2+ years of experience in quantitative roles modeling complex systems

• Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience

• Proficient in MS Office, particularly Excel

• 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

• 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 Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field

• Prior operational volume forecasting, capacity planning, or financial planning experience

• Experience with Tableau or other data visualization software

• Data mining experience using SQL/SAS querying

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

Skills:

• Analytical Thinking

• Business Intelligence

• Data Modeling

• Data Visualization

• Data and Trend Analysis

• Attention to Detail

• Collaboration

• Data Management

• Data Mining

• Presentation Skills

• Consulting

• Problem Solving

• Risk Management

• Stakeholder Management

• Technical Documentation

Shift:
1st shift (United States of America)

Hours Per Week:
40

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