Remote AI Model Risk & Governance Advisor

CSAA Insurance Group

Alabama

Remote

USD 110,000 - 170,000

Full time

6 days ago
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Benefits offered by this job

Annual bonus eligibility
401(k) with company match
Remote-first culture

Job summary

CSAA Insurance Group is seeking a Model Risk Advisor to promote governance practices for AI and model risk, and to maintain the AI policies and standards framework. The role focuses on streamlining governance processes, identifying compliance gaps, and collaborating with teams to improve governance across the organization.

The position involves audits, risk assessments, and developing executive-level insights on governance, model risk, and control effectiveness.

Qualifications

  • Bachelor's degree in computer science, information management, data science or a related field.
  • Four years of experience in AI Model governance, Model Risk Management, or Audit, information management can substitute for degree.
  • Knowledge of compliance monitoring and/or auditing principles.
  • Ability to communicate technical and business information clearly in various formats.

Responsibilities

  • Promote effective governance practices for AI and model risk.
  • Maintain and adopt AI policies and standards framework.
  • Monitor model performance, governance controls, and KRIs with established policies.
  • Support model validation and testing activities and communicate recommendations.

Skills

AI governance
Model risk management
Audit
Regulatory compliance
Data management

Education

Bachelor's degree in computer science or related field

Tools

Collibra

Job description

CSAA Insurance Group is seeking a Model Risk Advisor to promote governance practices for AI and model risk, and to maintain the AI policies and standards framework. The role focuses on streamlining governance processes, identifying compliance gaps, and collaborating with teams to improve governance across the organization.

The position involves audits, risk assessments, and developing executive-level insights on governance, model risk, and control effectiveness.

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