The AI Risk and Compliance Specialist implements and maintains the Bank's responsible AI governance framework, conducts AI risk and impact assessments, coordinates independent reviews and monitors AI risks and controls, reporting to management and Board governance forums.
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AI Risk & Compliance Specialist
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Co-operative Bank of Kenya
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Description (Public)
Duties, Roles and Responsibilities
- Implement and maintain the Bank's responsible AI governance framework, policies, standards, controls and approval processes
- Maintain an enterprise-wide inventory of AI use cases, models, providers and third-party AI tools, with ownership, risk classification, approvals and lifecycle monitoring
- Conduct AI risk and impact assessments covering data protection, cybersecurity, model risk, bias and fairness, explainability, human oversight, third-party risk and regulatory compliance
- Establish risk-based control, testing and evidence requirements including model validation, bias testing, generative AI safeguards and incident management
- Coordinate independent reviews and approvals with Risk, Legal, Compliance, Data Protection, ICT Security, Model Risk and business control owners
- Monitor AI risks, control effectiveness, model performance, incidents, complaints and remediation, preparing reports for management and Board governance forums
- Support investigations and resolution of AI-related incidents, control breaches and performance concerns
- Monitor emerging AI regulations and industry developments, maintain governance documentation and promote responsible AI awareness through training and guidance
Qualifications, Education and Competencies
Qualifications & Experience:
- Bachelor's degree in Risk Management, Law, Compliance, Information Systems, Data Science, Computer Science, Statistics or a related field
- At least six (6) years of relevant experience in risk management, compliance, audit, privacy, model risk, technology risk, data governance or AI governance
- Demonstrated experience designing or implementing governance and control frameworks within a regulated environment
- Practical exposure to AI/ML risk, model lifecycle controls, data protection and third-party technology risk is an added advantage
- A relevant postgraduate qualification and professional certification in risk, compliance, privacy, information security, audit, data governance or responsible AI is an added advantage
Skills & Competencies:
- Strong risk assessment and control design skills
- Excellent report writing and governance communication
- Stakeholder coordination across risk, legal, compliance and technology teams
- Independent judgement and attention to detail
How to Apply
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