Quantitative Operations Associate - Volume Forecaster

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 time series forecasting and predictive modeling. This individual will be responsible for developing data and maintaining strategic volume forecasts for capacity planning purposes through the application of statistical models and business intelligence. 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 time-series models using advanced algorithm-based forecasting techniques Routinely partner with the Front-Line Units (FLUs) to ensure model accuracy Conduct model production and performance presentations with executive leadership Support with ongoing model monitoring efforts to adhere to Model Risk Management (MRM) guidelines Assist in driving forecast consistency and innovation across the team 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: Master’s degree in Mathematics, Statistics, Applied Economics, Analytics, Data Science, other STEM field; or equivalent experience 2+ years of experience in quantitative roles supporting complex functions Fundamental understanding and experience with linear regression, time-series, and other statistical modeling techniques, through education and/or professional experience Proficient in MS Office, particularly Excel and Copilot Experience with SAS, Python, or R Ability to work in 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 Desired Skills: 2+ years of experience as a professional predictive modeling analyst (forecasting, regression analysis, time-series, etc.) Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by risk management governing body Data mining experience using SQL Experience with Tableau or other data visualization Ability to coach others 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 #J-18808-Ljbffr Bank of America