Quantitative Finance Analyst

Bank of America

. Conduct quantitative analytics and modeling projects for 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 programming skills in Python and SQL. Proficient in statistical analysis and regulatory compliance, particularly in financial risk modeling and loss forecasting.

Highest-signal resume keywords

Quantitative AnalyticsModel DevelopmentPython ProgrammingFinancial Risk ModelingRegulatory Compliance

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

Clear Verbal CommunicationTechnical WritingAbility to Work Under PressureMultitaskingPrioritization

Certifications & Qualifications

Master’s DegreePhD Level (Desirable)

Industry Keywords

CCARDFASTCECLICAAPModel Risk 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, analytical processes, and systems approaches
Create technical documentation for internal and regulatory purposes
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 quantitative work-priority planning 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 for development and validation projects
Work with model stakeholders and senior management on submission and validation outcomes
Perform statistical analysis on large datasets and interpret qualitative and quantitative results
Enhance Wholesale and Consumer loss forecasting models and develop new models
Contribute across the full model development lifecycle and regulatory alternative and champion models
Develop and build modeling solutions based on stakeholder requirements
Implement models using well-written, governed Python code
Promote and meet 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
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 regulatory guidelines preferred
Ability to engage stakeholders across business, risk, and model validation functions
Some project management experience preferred

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 to make an impact and contribute to sustainable growth