Senior Quantitative Risk & Model Analytics Lead

NBMBAA; Charlotte (NC); On-site; USD 125,000 - 210,000; Full time

Benefits offered by this job

In‑office culture

Job summary

Bank of America in Charlotte, NC seeks an experienced quantitative model validator to lead risk model development and validation efforts. The role focuses on stress testing, statistical analysis of large datasets, and guiding governance across the model lifecycle.

The candidate should have 7+ years of hands‑on experience, mastery of statistics and AI/ML, and strong writing/communication skills for formal reports and dashboards.

Qualifications

• 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 (i.e. Logistic regression) plus advanced AI/ML techniques.
• Expertise in model evaluation techniques such as ROC, KS, cross‑validation, SHAP values, etc.
• Proficiency in Python, SAS, R, LaTEX.
• Familiarity with regulatory requirements and guidelines related to risk model validation.
• Familiarity with bias/fairness testing for AI/ML models will be a plus.
• Excellent verbal communication and written documentation capabilities.
• Excellent analytical thinking and problem solving; able to work with stakeholders at all levels.

Responsibilities

• Performs end-to-end market risk stress testing including scenario design and reporting.
• Leads planning for quantitative work priorities aligned with bank strategy.
• Identifies improvements in model development, validation, and documentation.
• Maintains oversight of model development and model risk management.
• Provides methodological and analytical guidance across projects.
• Collaborates with stakeholders and senior management on submissions and validation outcomes.
• Performs statistical analysis on large datasets and interprets results.
• Reviews enterprise fraud prevention and detection models for rigor and governance.

Skills

Critical Thinking

Quantitative Development

Risk Analytics

Risk Modeling

Technical Documentation

Adaptability

Collaboration

Problem Solving

Risk Management

Test Engineering

Data Modeling

Data and Trend Analysis

Process Performance Measurement

Research

Written Communications

Education

Master’s degree in related field or equivalent work experience

Tools

Python

SAS

R

LaTeX

Job description

Bank of America in Charlotte, NC seeks an experienced quantitative model validator to lead risk model development and validation efforts. The role focuses on stress testing, statistical analysis of large datasets, and guiding governance across the model lifecycle.

The candidate should have 7+ years of hands‑on experience, mastery of statistics and AI/ML, and strong writing/communication skills for formal reports and dashboards.