AI Model Risk Validation Specialist

The Mutual Group; Iowa (LA); On-site; USD 100,000 - 130,000; Full time

Job summary

The Mutual Group in Iowa is seeking a Lead AI Systems Validator to oversee the validation of predictive models, ensuring alignment with program requirements. Candidates should have over 5 years of experience in data science, model risk management, or AI/ML validation, particularly in regulated environments like insurance. Responsibilities include monitoring model performance, recommending corrective actions, and translating technical findings into business implications. This role is crucial for maintaining model governance and stability.

Qualifications

• 5+ years in data science, model risk management, or AI/ML validation.
• Experience working with predictive models in regulated environments (insurance or financial services preferred).
• Strong understanding of machine learning models and statistical techniques.
• Familiarity with NAIC AI Model Bulletin and NIST AI RMF.

Responsibilities

• Lead twice-annual validation of AI Systems.
• Monitor predictive models for drift, stability, and performance degradation.
• Recommend corrective actions when thresholds are breached.

Skills

Data science

Model risk management

AI/ML validation

Predictive models

Machine learning models

Statistical techniques

Model evaluation

Model lifecycle management

Bias and fairness concepts

Job description

* Lead twice-annual validation of AI Systems* Monitor predictive models for: + Drift + Stability + Performance degradation* Ensure monitoring practices align with AIS Program requirements* Recommend corrective actions when performance or risk thresholds are breached* 5+ years in data science, model risk management, or AI/ML validation* Experience working with predictive models in regulated environments (insurance or financial services preferred)* Strong understanding of: + Machine learning models and statistical techniques + Model evaluation and validation methodologies + Bias and fairness concepts + Model lifecycle management* Familiarity with: + NAIC AI Model Bulletin + NIST AI RMF + Model governance and validation standards* Ability to translate technical findings into business and risk implications