Remote AI Model Risk & Governance Advisor

CSAA Insurance Group; Pennsylvania; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Flexible Workplace

Home-Office flexibility

Annual discretionary bonus up to 8%

401(k) with company match

Job summary

CSAA Insurance Group is actively hiring a remote Model Risk Advisor to promote AI governance, maintain model inventories, assess risk, and support validation activities. The role emphasizes governance, collaboration with risk and audit teams, and ongoing compliance with evolving AI regulations.

The position offers remote work across the United States, with a focus on governance, controls, and data quality. A strong background in model risk, AI ethics, and regulatory awareness is essential for

Qualifications

• 4+ years in model risk management or audit.
• Experience deploying AI governance across a large enterprise.
• Knowledge of AI ethics and regulatory compliance.
• Certification in Model Risk Management or similar.
• Strong ability to author and communicate technical information.

Responsibilities

• Promote governance practices and AI policy adoption.
• Maintain inventory of models with ownership, risk ratings, and metadata.
• Assess model risk based on complexity, regulatory requirements, and usage.
• Support model validation and testing activities by defining scope and communicating findings.
• Provide executive-level AI governance insights and reporting.

Skills

Model risk governance

AI governance

Compliance monitoring

Communicating complex topics

Change leadership

Education

Bachelor's degree in computer science / data science / information management

Tools

Collibra

Job description

CSAA Insurance Group is actively hiring a remote Model Risk Advisor to promote AI governance, maintain model inventories, assess risk, and support validation activities. The role emphasizes governance, collaboration with risk and audit teams, and ongoing compliance with evolving AI regulations.

The position offers remote work across the United States, with a focus on governance, controls, and data quality. A strong background in model risk, AI ethics, and regulatory awareness is essential for