Lead and oversee the independent validation of commercial CCAR/CECL and capital-related models
Direct validation activities including conceptual soundness assessment, independent code replication and performance testing, data quality, completeness, and reconciliation testing
Provide clear, risk-focused approval recommendations grounded in quantitative evidence and independent analysis
Engage directly with model developers and business partners to provide technically rigorous challenge while maintaining a constructive working relationship
Lead regulatory and audit interactions for the commercial portfolio, ensuring validation documentation reflects analytical depth and defensible conclusions
Develop and mentor a technically strong validation team, setting high standards for analytical quality and intellectual discipline.

Requirements

Master’s or Doctoral degree in a quantitative discipline (including Statistics, Mathematics, Engineering, Business Management)
7 years of relevant financial services experience (including model development, model validation, analytics) inclusive of 4 years’ managerial experience
In lieu of degree, a combined minimum of 10 years’ higher education and relevant work experience
Demonstrated technical knowledge of advanced software packages used in analytics (e.g., SAS, QRM, Strategic Analytics, Monte Carlo software)
Advanced degree in Statistics, Mathematics, Quantitative Finance, Engineering, Economics or related quantitative discipline strongly preferred
10+ years of experience in risk model validation and/or development
Significant experience validating or developing commercial credit risk, stress testing, or CECL models
Demonstrated expertise in Wholesale credit modeling
Data quality testing and forensic data analysis
Model performance evaluation and benchmarking
Strong programming proficiency (Python or equivalent)
Ability to communicate complex quantitative issues clearly to both technical and non-technical stakeholders
Demonstrated intellectual independence, sound judgment, and commitment to analytical rigor.

Benefits

Health insurance
Retirement plans
Paid volunteer time (40 hours each year)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

model validationmodel developmentanalyticsdata quality testingforensic data analysismodel performance evaluationbenchmarkingprogramming (Python)quantitative analysisstatistical modeling

Soft Skills

communicationleadershipanalytical rigorintellectual independencesound judgmentrelationship managementmentoringconstructive feedbackrisk assessmentteam development