Quantitative Finance Analyst

Bank of America

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

Posted 10/8/2026full-timeUnited StatesJuniorMid-Level💰 $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 strong programming skills in Python and SQL. Capable of translating complex quantitative findings into actionable business insights while ensuring compliance with regulatory requirements.

Highest-signal resume keywords

Quantitative AnalyticsModel DevelopmentStatistical AnalysisPython ProgrammingMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical Model EstimationData AnalysisMachine Learning ModelingModel DocumentationFeature EngineeringModel Explainability TechniquesQuantitative DocumentationData ExtractionPerformance EvaluationModel Governance

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

SQLHDFSHiveSparkPySparkScikit-learnXGBoostLightGBMRandom ForestLaTeX

Industry Keywords

Market RiskModel Risk ManagementCCARCECLRisk and Capital Management

Tech Stack

Tools & technologies

HDFSPySparkPythonScikit-LearnSparkSQL

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 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 quantitative work prioritization in line with the bank’s overall strategy
Identify continuous improvements through model development and validation reviews
Support model development and model risk management for business requirements and enterprise risk appetite
Provide methodological, analytical, and technical guidance to challenge and influence development and validation projects
Work with model stakeholders and senior management to communicate submission and validation outcomes
Perform statistical analysis on large datasets and interpret results using qualitative and quantitative approaches
Develop and maintain risk and capital models and model systems across Retail and GWIM product lines
Architect, implement, maintain, improve, and integrate quantitative solutions on strategic platforms
Build quantitative solutions for risk and capital management
Improve infrastructure, code efficiency, and computational resource usage
Deliver quantitative documentation for stakeholders, policy requirements, and regulatory exams such as CCAR and CECL
Work with senior modelers to design models and support model execution
Collaborate with Enterprise Model Risk Management on model validations and issue resolution
Support business units as a subject matter expert in quantitative modeling techniques
Oversee model performance, model risk, and model governance for critical model portfolios

Requirements

What you’ll need

Master’s degree in a related field or equivalent work experience
Minimum of 2 years of relevant experience in statistics, data science, machine learning, model development and other quantitative analysis
Experience in data analysis, statistical model estimation, machine learning modeling, implementation, testing, performance evaluation, and model documentation
Strong programming skills in Python, SQL, and related quantitative or data science libraries
Experience with large and complex datasets, including data extraction, transformation, validation, feature engineering, and quality review using SQL-based tools
Experience with HDFS, Hive, Spark, PySpark, and distributed data processing environments
Hands-on experience with machine learning or AI model development using Python-based frameworks such as scikit-learn, XGBoost, LightGBM, Random Forest, or related ensemble methods
Experience with model explainability and transparency techniques such as SHAP, feature importance, partial dependence, or interpretable models
Ability to translate quantitative findings into business implications for residential property valuation, collateral risk, mortgage or home equity decision support, and model governance
Quantitative documentation experience, including technical writing and familiarity with LaTeX or similar tools
Strong analytical and problem-solving skills; ability to work independently and seek guidance when needed
Ability to present quantitative analysis, model results, and recommendations to technical and non-technical stakeholders
Ability to work in an in-office culture and United States of America 1st shift schedule

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Benefits eligible
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