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Ghr

Charlotte, United States of America

Quantitative Operations Associate.

SALES & MARKETING
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 Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage. Pay Transparency - https://careers.bankofamerica.com/en-us/pay-transparency Privacy Statement - https://careers.bankofamerica.com/en-us/privacy-notice
Pay
Not stated
Where
Charlotte, United States of America
Work
Not stated
Type
Not stated
Posted
23 Oct, 2026
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