Quantitative Finance Analyst

Bank of America

Conduct quantitative analytics and modeling projects for specific business units at Bank of America. Support model development and risk management while interpreting results on large datasets.

Posted 7/28/2026full-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 statistical analysis, with a strong foundation in Statistics, Financial Mathematics, and programming skills in SQL and Python. Capable of producing technical documentation and effectively communicating complex concepts.

Highest-signal resume keywords

Quantitative AnalyticsModel DevelopmentStatistical AnalysisSQL ProgrammingPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

StatisticsProbability TheoryEconometricsFinancial MathematicsModel Risk ManagementData AnalysisStress TestingTechnical DocumentationAnalytic ProcessesSystems Design

Soft Skills

Clear Verbal CommunicationTechnical WritingAbility to Work Under PressureMultitaskingPrioritization

Tools & Technologies

SQLPythonVBALatex

Certifications & Qualifications

Masters DegreePhD Level (Desirable)

Industry Keywords

Risk ModelsCapital ModelsMarket RiskLarge DatasetsScenario Design

Tech Stack

Tools & technologies

PythonSQLVBA

About the role

Key responsibilities & impact

Conducting quantitative analytics and modeling projects for specific business units or risk types
Developing new models, analytic processes, or systems approaches
Creating technical documentation for related activities
Working with Technology staff in the design of systems to run models developed
Performing end-to-end market risk stress testing including scenario design
Supporting model development and model risk management in respective focus areas
Performing statistical analysis on large datasets and interpreting results

Requirements

What you’ll need

Highly numerical degree (Masters required; PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics or Engineering
Some experience in developing, documenting & maintaining risk and/or capital models and handling large datasets
Statistics, Probability Theory, Econometrics, Financial Mathematics
Strong programming skills; SQL, Python, VBA, Latex
Strong technical writing and clear verbal communication skills
Experience of working under pressure and delivering to tight deadlines
Ability to work independently, multitask and properly prioritize work
Curiosity and willingness to develop and work on new ways of modelling

Benefits

Comp & perks

Discretionary incentive eligible
Industry-leading benefits
Access to paid time off
Resources and support to make a genuine impact