Quantitative Operations Associate

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for developing and maintaining models for the line of business, including volume forecasts, capacity plans, and vendor models. Key responsibilities include presenting findings to key stakeholders and ensuring compliance to Model Risk Management (MRM) standards. Job expectations include strong quantitative skills and experience in time series forecasting, simulation modelling, operations research, and analytics.
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 capacity planning, resource optimization, and/or analytics. This individual will be responsible for developing and maintaining strategic capacity models that forecast operational resource demand with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure 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. Responsibilities include:
• Develop and maintain capacity planning and resource optimization models
• Routinely partner 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 current capacity model inputs, processes, and outputs
• Assist in driving capacity modeling consistency and innovation across Resource Analytics
• Help modernize existing capacity models using advanced simulation and optimization techniques
• Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines
Responsibilities:
Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models
Drives horizontal consistency in model development 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
Required Skills:
• 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 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, Analytics, Finance, or other STEM field
• Prior capacity or financial planning experience
• Understanding of linear regression and time-series modeling techniques
• Understanding of simulation and operations research techniques
• 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
• Experience with Tableau or other data visualization software
• 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