Quantitative Operations Associate – Volume & Capacity Modeler-Global Operations

Bank of America is a financial institution that offers credit cards, home loans, and auto loan services. The Quantitative Operations Associate will develop and maintain quantitative models for volume forecasting and capacity planning to optimize staffing levels across Global Operations while ensuring adherence to Model Risk Management standards.

What you'll do:

• 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

What they're looking for:

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

Benefits:

• Discretionary incentive eligible
• Benefits
• Access to paid time off