Senior Quantitative Risk & Fraud Modeling Analyst

Financeroles; Florida; On-site; USD 125,000 - 210,000; Full time

Benefits offered by this job

Discretionary incentive plan

Benefits eligible

Job summary

Bank of America is seeking a senior quantitative risk modeler to lead end-to-end stress testing and model validation for risk types and business units. You will design scenarios, oversee development, and produce technical documentation while collaborating with Technology and risk teams.

The role requires 7+ years in fraud detection or financial crime analytics, expert statistics, and strong Python/SAS/R skills. Expect competitive salary, in-office NJ/US location, with benefits eligibility.

Qualifications

• Advanced degree with 7+ years of model development or validation experience in fraud detection or financial crime.
• Expertise in traditional statistics and AI/ML techniques (logistic regression, gradient boosting, neural networks, random forest, transformers).
• Proficiency in model evaluation methods (ROC, KS, confusion matrix, cross-validation, SHAP).
• Proficient in Python, SAS, R, LaTEX and familiar with regulatory risk model guidance.
• Familiarity with bias/fairness testing for AI/ML models is a plus.
• Excellent verbal and written communication skills; analytical thinker and collaborator.

Responsibilities

• Lead end-to-end market risk stress testing including scenario design and reporting.
• Set quantitative work priorities aligned with bank strategy.
• Improve model development/validation processes and documentation.
• Oversee model development and risk management efforts in focus areas.
• Provide methodological guidance and influence project directions.
• Communicate validation outcomes with stakeholders and senior management.
• Perform statistical analysis on large datasets using qualitative and quantitative methods.
• Review enterprise fraud models for soundness and governance compliance.
• Develop testing or alternative models using statistical analysis and software tools.
• Present validation results in structured reports (IAR, MVR, RAI, OMR).
• Coordinate with business, developers, risk and audit across model lifecycle.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Test Engineering

Data Modeling

Data and Trend Analysis

Process Performance Measurement

Research

Written Communications

Education

Master's degree in related field

Tools

Python

SAS

R

LaTEX

Job description

Bank of America is seeking a senior quantitative risk modeler to lead end-to-end stress testing and model validation for risk types and business units. You will design scenarios, oversee development, and produce technical documentation while collaborating with Technology and risk teams.

The role requires 7+ years in fraud detection or financial crime analytics, expert statistics, and strong Python/SAS/R skills. Expect competitive salary, in-office NJ/US location, with benefits eligibility.