Senior Quantitative Finance Analyst

Bank of America

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

Posted 11/2/2026full-timeUnited StatesSenior💰 $125,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analytics, model development, and validation, particularly in fraud detection and financial crime. Proficient in statistical modeling techniques and advanced AI/ML methodologies, with strong communication and analytical skills.

Highest-signal resume keywords

Model DevelopmentStatistical AnalysisPython ProficiencyAdvanced AI/ML TechniquesModel Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalyticsStatistical ModelingLogistic RegressionGradient BoostingNeural NetworksRandom ForestModel Evaluation TechniquesFeature ImportanceSHAP ValuesCross-Validation

Soft Skills

Analytical ThinkingProblem-SolvingVerbal CommunicationWritten DocumentationInterpersonal Skills

Tools & Technologies

PythonSASRLaTEX

Industry Keywords

Risk Model ValidationFraud DetectionFinancial CrimeRegulatory RequirementsBias TestingFairness Testing

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Conduct quantitative analytics and complex modeling projects for specific business units or risk types
Lead development of new models, analytic processes, or system approaches
Create technical documentation for related activities
Work with Technology staff to design systems for running developed models
Perform end-to-end market risk stress testing, including scenario design, implementation, results consolidation, reporting, and analysis
Plan quantitative work priorities in line with the bank’s overall strategy and prioritization
Identify continuous improvements through reviews of model development and validation decisions, technical documentation feedback, and effective challenges
Maintain and oversee model development and model risk management in respective focus areas
Provide methodological, analytical, and technical guidance to challenge and influence development/validation projects
Work with model stakeholders and senior management regarding submission and validation outcomes
Perform statistical analysis on large datasets and interpret results using qualitative and quantitative approaches
Review and validate enterprise fraud prevention and detection models for conceptual soundness and quantitative rigor
Develop testing or alternative models using statistical or quantitative analysis and software including R, SAS, and Python
Present model validation results in reports including IAR, MVR, RAI Assessment, and OMR Reviews
Partner with business, model developers, risk, and audit partners across model lifecycle and validation processes

Requirements

What you’ll need

Master’s degree in related field or equivalent work experience
Advanced quantitative degree with 7+ years of hands-on model development or validation experience in fraud detection or related financial crime areas
Solid grasp of traditional statistical modeling techniques, including Logistic regression
Advanced AI/ML techniques, including Gradient Boosting, Neural Networks, Random Forest, and Transformer
Expertise in model evaluation techniques such as rank ordering, ROC curve, confusion matrix, KS, cross-validation, feature importance, and SHAP values
Proficiency in Python, SAS, R, and LaTEX
Familiarity with regulatory requirements and guidelines related to risk model validation
Familiarity with bias/fairness testing for AI/ML models is a plus
Excellent verbal communication and written documentation capabilities
Excellent analytical thinking and practical problem-solving skills
Ability to work well with people at all levels
Ability to work 1st shift in the United States of America
40 hours per week

Benefits

Comp & perks

Discretionary incentive eligible; eligible to participate in the annual discretionary plan
Annual discretionary award based on individual performance, line of business/group performance, and overall Company success
Benefits eligible
Access to paid time off
Resources and support for employees
In-office culture with role-specific flexibility based on responsibilities and business needs
Opportunities to learn, grow, and make an impact
Inclusive workplace and career development opportunities