Quantitative Finance Analyst

Bank of America

. Conduct quantitative analytics and modeling projects for business units or risk types .

Posted 9/22/2026full-timeUnited StatesMid-LevelSenior💰 $89,800 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analytics, model development, and risk management, with strong capabilities in statistical analysis and programming. Proficient in communicating complex model outcomes to stakeholders and ensuring compliance with regulatory standards.

Highest-signal resume keywords

Quantitative AnalyticsModel DevelopmentStatistical AnalysisPython ProgrammingFinancial Risk Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisModel DevelopmentRisk ModelingData HandlingProgramming in SQLProgramming in PythonProgramming in VBATechnical WritingModel ValidationLoss Forecasting

Soft Skills

Clear Verbal CommunicationAbility to Work Under PressureMultitaskingPrioritizationCuriosity

Tools & Technologies

LaTeX

Industry Keywords

CCARDFASTCECLICAAPFinancial MathematicsEconometricsProbability TheoryTechnical DocumentationStakeholder EngagementProject Management

Tech Stack

Tools & technologies

PythonSQLVBA

About the role

Key responsibilities & impact

Conduct quantitative analytics and modeling projects for business units or risk types
Develop new models, analytic processes, and systems approaches
Create technical documentation for model-related activities
Work with Technology staff to design systems that run developed models
Perform end-to-end market risk stress testing, including scenario design, implementation, results consolidation, reporting, and analysis
Support planning of quantitative work priorities aligned with the bank’s strategy
Identify continuous improvements through model development and validation reviews
Support model development and model risk management across focus areas
Provide methodological, analytical, and technical guidance to challenge and influence development and validation projects
Communicate submission and validation outcomes to stakeholders and senior management
Perform statistical analysis on large datasets and interpret qualitative and quantitative results
Develop and enhance Wholesale and Consumer loss forecasting models
Contribute across the full model development lifecycle and regulatory alternative and champion models
Collect business requirements and build modeling solutions
Implement models using governed Python code
Produce technical documentation for internal and regulatory purposes
Promote GRA best practices for model development, implementation, and monitoring

Requirements

What you’ll need

Master’s degree in a related field or equivalent work experience
Highly numerical degree in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, or Engineering
Some experience developing, documenting, and maintaining risk and/or capital models
Experience handling large datasets
Knowledge of statistics, probability theory, econometrics, and financial mathematics
Strong programming skills in SQL, Python, VBA, and LaTeX
Strong technical writing and clear verbal communication skills
Ability to work under pressure and deliver to tight deadlines
Ability to work independently, multitask, and prioritize work
Curiosity and willingness to develop new modeling methods
Experience in financial risk modeling and loss forecasting preferred
Knowledge of CCAR, DFAST, CECL, and ICAAP preferred
Stakeholder engagement and project management experience desired
40 hours per week
1st shift (United States of America)

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Industry-leading benefits
Paid time off
Resources and support to employees
In-office culture supporting collaboration, engagement, and career development
Opportunities to learn, grow, and make an impact