Quantitative Finance Analyst

Bank of America

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

Posted 9/23/2026full-timeJersey City • New Jersey • United 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 stakeholder engagement and technical documentation to support model validation and regulatory compliance.

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

Quantitative AnalyticsModel DevelopmentStatistical AnalysisPython ProgrammingSQL ProgrammingVBA ProgrammingLaTeXRisk ModelingLoss ForecastingTechnical Documentation

Soft Skills

Strong Communication SkillsAbility to Work Under PressureCuriosityStakeholder EngagementProject Management Experience

Industry Keywords

CCARDFASTCECLICAAPFinancial MathematicsProbability TheoryEconometricsModel Risk ManagementMarket Risk Stress TestingModel Validation

Tech Stack

Tools & technologies

PythonSQLVBA

About the role

Key responsibilities & impact

Conduct quantitative analytics and modeling projects for specific 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 for running models
Perform end-to-end market risk stress testing, including scenario design, implementation, results consolidation, reporting, and analysis
Support planning for 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 to challenge and influence development and validation projects
Work with model stakeholders and senior management on submission and validation outcomes
Perform statistical analysis on large datasets and interpret results qualitatively and quantitatively
Enhance existing Wholesale and Consumer loss forecasting models and develop new models
Contribute across the full model development lifecycle and regulatory alternative/champion models
Identify effective statistical estimation techniques for risk modeling
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
Develop innovative approaches to modeling problems

Requirements

What you’ll need

Master’s degree in a related field or equivalent work experience
PhD level desirable
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 approaches
Experience in financial risk modeling and loss forecasting preferred
Knowledge of CCAR, DFAST, CECL, and ICAAP preferred
Strong stakeholder engagement skills
Some project management experience
Ability to work 1st shift in the United States of America

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Industry-leading benefits
Paid time off
Resources and support for employees
In-office culture supporting collaboration, engagement, and career development
Opportunities to learn, grow, and make an impact