Quantitative Operations Associate – Volume Forecaster

Bank of America

Volume Forecaster developing time-series models for Bank of America’s financial operations. Supporting capacity planning, executive reporting, and Model Risk Management compliance.

Posted 8/21/2026full-timeCharlotte • Arizona, Florida, North Carolina, Texas • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining statistical models for forecasting and capacity planning, with a strong foundation in linear regression and time-series analysis. Proficient in utilizing advanced analytics tools and techniques to drive model accuracy and performance in a collaborative environment.

Highest-signal resume keywords

Statistical Modeling TechniquesPredictive Modeling AnalysisData Visualization with TableauExperience with SAS, Python, or RMaster's Degree in Mathematics, Statistics, or Related Field

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linear RegressionTime-Series AnalysisStatistical ModelingData Mining with SQLForecasting Techniques

Soft Skills

Strong Communication SkillsProblem-Solving AptitudeCollaboration SkillsNatural Curiosity

Tools & Technologies

MS OfficeExcelCopilotSASPythonRTableau

Industry Keywords

Model Risk ManagementBanking Industry AnalyticsCapacity PlanningVendor Models

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Develop and maintain models for the line of business, including volume forecasts, capacity plans, and vendor models
Develop and maintain time-series models using advanced algorithm-based forecasting techniques
Partner routinely with Front-Line Units to ensure model accuracy
Present model production and performance findings to executive leadership and key stakeholders
Support ongoing model monitoring to adhere to Model Risk Management guidelines
Drive forecast consistency and innovation across the team
Drive horizontal consistency in model development and usage across peer groups
Improve forecasting performance and efficiency
Apply statistical models and business intelligence to maintain strategic volume forecasts for capacity planning

Requirements

What you’ll need

Master's degree in Mathematics, Statistics, Applied Economics, Analytics, Data Science, or another 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
Proficient in MS Office, particularly Excel and Copilot
Experience with SAS, Python, or R
Ability to work in a team-oriented environment with strong problem-solving and collaboration aptitude
Strong communication and interpersonal skills, including communicating complex ideas clearly and concisely to key stakeholders
Natural curiosity and drive to answer important business questions
2+ years of experience as a professional predictive modeling analyst (desired)
Prior banking industry analytics and modeling experience with risk-management standards (desired)
Data mining experience using SQL (desired)
Experience with Tableau or other data visualization (desired)
Ability to coach others (desired)

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for teammates’ physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
In-office culture with role-specific flexibility