Model Risk Advisor - Remote

CSAA Insurance Group, a AAA Insurer•Washington, NV

2d•$116,820 - $155,750•Remote

About The Position

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work. We are actively hiring for a Model Risk Advisor – Remote Your Role: The Model Risk Advisor is responsible for promoting effective governance practices, assisting in the maintenance and adoption of the AI policies and standards framework, streamlining and optimizing governance processes, and identifying actionable insights to close compliance gaps. This role will play a key role in fostering collaboration, driving compliance, and continuously improving AI governance within the organization.

Requirements

4+ years of experience in Model risk management related practices, risk, and audit.
Bachelor's degree in computer science, information management, data science or a related field.
Four years of work experience in AI Model governance, Model Risk Management, or Audit, information management can be substituted in lieu of a degree in addition to the minimum years of work experience.
Knowledge of compliance monitoring and/or auditing principles.
Knowledge of privacy, security, and AI Model governance standards.
Capable of independently authoring and communicating technical and business information in a variety of formats and explaining complex and/or technical topics relating to AI Model governance.
Good written and verbal skills, including an ability to translate technical information into concepts that are easily understood.
Strong strategic, interpersonal, communication, and critical thinking skills required.
Experience in deploying AI Model governance, Model Risk programs across a large enterprise.
AI Model Governance policy, standard, controls establishment, enforcement, and monitoring.
Proven experiences in AI ethics, governance, compliance, or related roles.
Demonstrated knowledge and understanding of AI governance principles, including ethical considerations, regulatory compliance (e.g., EU AI Act and AI Executive Order) and risk management frameworks (e.g., NIST framework).
Good understanding of bias testing and remediation for machine learning and generative AI models.
General understanding of risk and compliance principles as applied to AI Model Governance and data management solutions.
Ability to lead and influence change within complex organizational structures.
Strong social skills and the ability to collaborate at all levels of the organization.

Nice To Haves

Certification in Model Risk Management or similar.
Hands on experience with data management tool such as Collibra or similar tools.
Actively shapes our company culture (e.g., participating in employee resource groups, volunteering, etc.)
Lives into cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.)
Travels as needed for role, including divisional / team meetings and other in-person meetings
Fulfills business needs, which may include investing extra time, helping other teams, etc

Responsibilities

Engage with the enterprise AI community to promote awareness, understanding, and adoption of AI governance policies, standards, and responsible AI practices.
Establish and maintain a complete inventory of statistical, machine learning, AI, and GenAI models, including ownership, risk ratings, and required model metadata.
Assess model risk based on complexity, regulatory requirements, business impact, and usage, and identify emerging risks associated with AI and model activities.
Implement and maintain Model Risk Management frameworks, processes, controls, policies, standards, and procedures in partnership with key team members.
Monitor model performance, governance controls, KRIs, and compliance with established policies and standards, calling out issues as appropriate.
Support model validation and testing activities by defining scope, assessing results, documenting findings, and communicating recommendations to team members.
Participate in AI Model Governance oversight activities, including audits, peer reviews, governance reviews, and risk assessments.
Develop reporting, metrics, and executive-level insights that provide access to AI governance, model risk, control effectiveness, and areas of concern.
Partner with internal teams, Enterprise Risk, auditors, and external suppliers to maintain accurate governance documentation and address identified risks.
Monitor evolving regulatory and Department of Insurance expectations related to AI and model risk and incorporate requirements into governance practices.
Find opportunities to improve, automate, and streamline AI governance processes, tools, and controls.
Evaluate governance processes and tools, resolve issues, and recommend improvements when appropriate.