Quantitative Operations Associate

NBMBAA; Charlotte (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

Bank of America is seeking a data modeling professional to develop and maintain capacity planning and resource optimization models within Global Operations Data, Reporting & Operations Management. You will partner with Front Line Units, present findings to executives, and ensure compliance with Model Risk Management standards.

The role requires strong quantitative skills, time-series or simulation modeling experience, and the ability to communicate complex results clearly to stakeholders in a

Qualifications

• Bachelor's degree in a STEM field or related quantitative discipline.
• 2+ years in quantitative roles supporting complex functions.
• Strong MS Excel and analytical tool proficiency.
• Experience communicating technical models to non-technical stakeholders.

Responsibilities

• Develop and maintain capacity planning and resource optimization models.
• Routinely partner with Front Line Units to ensure model accuracy.
• Present model findings to executive leadership.
• Ensure adherence to Model Risk Management (MRM) guidelines.
• Support model monitoring to improve forecasting performance.

Skills

Quantitative analysis

Excel proficient

Copilot experience

Team collaboration

Communication skills

Problem solving

Self-motivation

Education

Bachelor's degree

Master's degree

Tools

MS Office

Copilot

Job description

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:

• 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