Model Risk & ML Governance Lead (SR 11-7)

Moraph LLC; New York, Northern (NY, KY); Hybrid; USD 250,000 - 290,000; Full time

Job summary

Moraph LLC is seeking a senior model risk professional in New York to run its internal risk framework for production models, including champion/challenger processes and bias testing aligned with fair-lending commitments.

The role focuses on model explainability (SHAP/LIME), documentation standards, drift monitoring, and retirement of models, with oversight to regulatory expectations under Reg B, ECOA, NIST RMF and the EU AI Act.

Qualifications

• 7+ years in model risk management, model validation or applied ML in financial services.
• Deep familiarity with SR 11-7 and model validation practice.
• Strong Python and statistical skills.

Responsibilities

• Operate the champion/challenger validation process for production credit and fraud models.
• Design fairness and disparate-impact testing for models used in lending decisions (Reg B / ECOA).
• Produce model explainability reports (SHAP/LIME) that clients can give to examiners.
• Set standards for model documentation, drift monitoring and retirement.
• Align practices with the NIST AI RMF and the EU AI Act.

Skills

years of experience

SR 11-7 familiarity

Python

Statistics

Communication

Job description

Make our AI explainable to regulators. You will run Moraph's internal model risk framework, including the 30-day champion/challenger process every production financial model goes through, and the bias testing behind our fair-lending commitments.

What you'll do

• Operate the champion/challenger validation process for production credit and fraud models
• Design fairness and disparate-impact testing for models used in lending decisions (Reg B / ECOA)
• Produce model explainability reports (SHAP/LIME) that clients can give to examiners
• Set standards for model documentation, drift monitoring and retirement
• Align practices with the NIST AI RMF and the EU AI Act

What you'll bring

• 7+ years in model risk management, model validation or applied ML in financial services
• Deep familiarity with SR 11-7 and model validation practice
• Strong Python and statistical skills
• Able to communicate model limitations plainly to non-technical stakeholders

Compensation

$250,000 – $290,000 per year.