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 regulatory compliance and effective communication with stakeholders across various business units.

Highest-signal resume keywords

Quantitative AnalyticsModel DevelopmentStatistical AnalysisPython ProgrammingRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisModel DevelopmentRisk ModelingLoss ForecastingSQL ProgrammingPython ProgrammingVBA ProgrammingLaTeXEconometricsFinancial Mathematics

Soft Skills

Technical WritingVerbal CommunicationMultitaskingCuriosityProject Management

Industry Keywords

Market RiskStress TestingModel ValidationCCARDFASTCECLICAAPData AnalysisStakeholder EngagementModel Governance

Tech Stack

Tools & technologies

PythonSQLVBA

About the role

Key responsibilities & impact

Conduct quantitative analytics and modeling projects for business units or risk types
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 bank 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 on development and validation projects
Work with model stakeholders and senior management regarding submission and validation outcomes
Perform statistical analysis on large datasets using qualitative and quantitative approaches
Enhance existing Wholesale and Consumer loss forecasting models and develop new models
Contribute across the full model development lifecycle and regulatory alternative and champion models
Seek effective statistical estimation techniques for modeling risk
Gather stakeholder requirements and build modeling solutions
Implement models using well-written, governed Python code
Produce technical documentation for internal and regulatory purposes
Promote and follow GRA best practices for model development, implementation, and monitoring
Collaborate with Technology staff to design systems for running models

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
PhD level desirable
Some experience developing, documenting, and maintaining risk and/or capital models and 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 approaches
Experience in financial risk modeling and loss forecasting preferred
Knowledge of regulatory guidelines including CCAR, DFAST, CECL, and ICAAP
Ability to work with colleagues in business, risk, and model validation
Some project management experience
40 hours per week
1st shift (United States of America)

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Physical, emotional, and financial wellness support
Opportunities to learn, grow, and make an impact
Annual discretionary incentive plan eligibility
Paid time off
Resources and support for employees
In-office culture supporting collaboration, engagement, and career development