Model Risk & AI Governance Analyst

RXinsider LTD.; Northern (KY); Hybrid; USD 82,000 - 134,000; Full time

Job summary

Live Oak Bank seeks a Model Risk Analyst to validate and govern AI-enabled models and ensure risk controls across the model lifecycle. In the second line of defense, you provide independent review, effective challenge, and ongoing oversight of risk and performance.

Based in the North Carolina market, this role requires Python and SQL proficiency, and hands-on experience with GitHub and Databricks. A quantitative bachelors degree and 2–4 years of related experience are required.

Qualifications

• Bachelor’s degree in a quantitative field.
• 2–4 years of experience in model risk management, model validation, or related risk management within financial services.
• Experience reviewing or validating quantitative and/or qualitative models (credit risk, forecasting, pricing, etc.).
• Ability to analyze model documentation, data, assumptions, and methods and apply independent judgment and effective challenge.
• Baseline familiarity with AI or machine learning concepts and governance considerations.
• Proficiency with Python and SQL, and hands-on experience with version-control and analytical platforms such as GitHub and Databricks.

Responsibilities

• Conduct validations of internally developed and vendor-provided models, assessing soundness and limitations.
• Review monitoring results to ensure models perform as intended and identify emerging risks.
• Assess model change requests, data updates, and enhancements; determine required review level.
• Provide effective challenge to model owners and document findings and remediation actions.

Skills

Python

SQL

GitHub

Databricks

Communication skills

Education

Bachelor's degree in a quantitative field

Tools

GitHub

Databricks

Job description

Live Oak Bank seeks a Model Risk Analyst to validate and govern AI-enabled models and ensure risk controls across the model lifecycle. In the second line of defense, you provide independent review, effective challenge, and ongoing oversight of risk and performance.

Based in the North Carolina market, this role requires Python and SQL proficiency, and hands-on experience with GitHub and Databricks. A quantitative bachelors degree and 2–4 years of related experience are required.