Quantitative Operations Associate

Bank of America

. Develop and maintain capacity planning and resource optimization models .

Posted 10/23/2026full-timeUnited StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in capacity planning, resource optimization, and advanced modeling techniques, with a strong foundation in quantitative analysis and statistical software. Proven ability to communicate complex findings effectively to stakeholders while driving innovation and consistency in model development.

Highest-signal resume keywords

Capacity PlanningResource OptimizationStatistical Software (SAS, Python, R)Model Risk Management (MRM)Data Visualization (Tableau)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisLinear RegressionTime-Series ModelingSimulation TechniquesOperations ResearchExcel ProficiencyCapacity ForecastingOptimization TechniquesModel DocumentationPerformance Monitoring

Soft Skills

Problem SolvingCollaborationCommunicationInterpersonal SkillsSelf-Motivation

Tools & Technologies

CopilotArenaSAS ORGAMSXPRESSCPLEX

Industry Keywords

Banking AnalyticsRisk Management StandardsVendor ModelsFront Line Units (FLUs)Capacity Model Inputs

Tech Stack

Tools & technologies

PythonTableau

About the role

Key responsibilities & impact

Develop and maintain capacity planning and resource optimization models
Develop and maintain volume forecasts, capacity plans, and vendor models
Partner routinely with Front Line Units (FLUs) to ensure model accuracy
Present model production and performance findings to executive leadership and key stakeholders
Evaluate opportunities and implement enhancements to capacity model inputs, processes, and outputs
Drive capacity modeling consistency and innovation across Resource Analytics
Modernize capacity models using advanced simulation and optimization techniques
Document models and support adherence to Model Risk Management (MRM) guidelines
Drive consistency in model development and usage across peer groups
Support ongoing model monitoring to improve forecasting performance and efficiency

Requirements

What you’ll need

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 clearly and concisely 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: Master’s degree in a related STEM field
Desired: Prior capacity or financial planning experience
Desired: Understanding of linear regression and time-series modeling techniques
Desired: Understanding of simulation and operations research techniques
Desired: Experience with SAS, Python, R, or similar statistical software
Desired: Experience with Arena or similar discrete event simulation software
Desired: Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
Desired: Experience with Tableau or other data visualization software
Desired: Prior Banking industry analytics and modeling experience with models adhering to risk management standards

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 supporting collaboration, engagement, and career development
Full-time employment
40 hours per week
1st shift