About the role
As an AI Governance Analyst in [Insert LOB/Sub-LOB/team name], you will play a pivotal role in ensuring the responsible and ethical use of artificial intelligence within our organization. You will collaborate with cross-functional teams to implement governance frameworks and standards, ensuring AI/ML systems are transparent and compliant with regulations. Your work will involve identifying and mitigating risks associated with AI models, while also validating their accuracy and fairness. By leveraging your skills in bias detection and regulatory compliance, you will contribute to safeguarding our firm's reputation and regulatory standing. Join us in driving innovation while maintaining the highest standards of integrity and accountability.
Job responsibilities
- Implement AI governance frameworks by applying established standards and policies to ensure compliance and ethical AI usage.
- Assist in the validation of AI/ML models by conducting assessments to verify accuracy, fairness, and adherence to regulatory requirements.
- Monitor AI model performance and identify potential risks, using basic analysis techniques to ensure ongoing compliance and reliability.
- Support bias detection efforts by applying foundational techniques to assess and mitigate bias in AI/ML models for fair outcomes.
- Contribute to the integration of AI governance tools by automating compliance processes through API usage and cloud platform management.
- Demonstrate baseline knowledge or equivalent expertise in AI governance frameworks, including the ability to apply standards and policies effectively.
- Exhibit foundational skills in model validation and monitoring, with experience in assessing AI/ML models for accuracy and compliance.
- Apply basic techniques in bias detection and mitigation to ensure fairness in AI/ML models, using tools and methodologies to identify potential biases.
- Utilize introductory skills in AI regulatory compliance, ensuring AI systems adhere to relevant regulations and internal policies.
- Show proficiency in integrating AI governance tools through API usage and managing AI/ML models on cloud platforms like AWS or Azure.