Quantitative Operations Associate II – Lead Modeler

Bank of America

Quantitative Operations Associate II developing forecasting and modeling solutions for Global Operations at Bank of America. Collaborating with teams to ensure optimal staffing levels and driving model accuracy.

Posted 7/17/2026full-timeChicago • Arizona, Florida, Illinois, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $126,000 - $168,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in volume forecasting, capacity planning, and predictive modeling methodologies, with a strong foundation in quantitative analysis and risk management standards. Proficient in collaborating with cross-functional teams and communicating complex concepts effectively to stakeholders.

Highest-signal resume keywords

Master’s Degree In Mathematics5+ Years Of Experience In Quantitative RolesProficient In SAS, Python, Or RFundamental Understanding Of Predictive Modeling TechniquesPrior Banking Industry Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Volume ForecastingCapacity PlanningPredictive ModelingLinear RegressionTime Series AnalysisOperations ResearchModel Risk ManagementResource OptimizationModel ProductionPerformance Presentations

Soft Skills

Problem SolvingCollaborationCommunicationInterpersonal SkillsSelf-Motivation

Tools & Technologies

MS OfficeExcelCopilot

Industry Keywords

Banking IndustryRisk ManagementAnalyst OnboardingModel Accuracy

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and maintain volume forecasting, capacity planning, and resource optimization models
Research and implement new predictive modeling and operations research methodologies
Assist in driving forecasting and capacity modeling consistency and innovation across team
Routinely partner with Front Line Units (FLUs) to ensure model accuracy
Conduct model production and performance presentations with executive leadership
Assist with documentation and other efforts to adhere to Model Risk Management (MRM) requirements
Serve as volume forecasting subject matter expert to help with analyst onboarding and training across Resource Analytics

Requirements

What you’ll need

Master’s degree in Mathematics, Statistics, Applied Economics, Industrial Engineering, Operations Research, Advanced Analytics, other STEM field; or equivalent experience.
5+ years of experience in quantitative roles modeling complex systems.
Fundamental understanding of linear regression, time series, and other predictive modeling techniques, both through education and professional experience.
Proficient in MS Office, particularly Excel and Copilot.
Proficient in SAS, Python, or R.
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.
Prior Banking industry analytics and modeling experience, specifically with developing models that adhere to standards set by a risk management governing body.

Benefits

Comp & perks

Access to paid time off
Affordable, competitive and flexible benefits