Risk Management Group works closely with our business partners to manage the bank’s risk exposure by balancing its objective to maximise returns against an acceptable risk profile. We partner with origination teams to provide financing, investments and hedging opportunities to our customers. To manage risk effectively and run a successful business, we invest significantly in our people and infrastructure.
Responsibilities:
- Develop and champion a long-term strategic vision for data and AI risk management, aligned with the bank's overall business strategy and risk appetite. Create and implement a comprehensive roadmap for achieving this vision, including key initiatives, resource allocation, and performance metrics.
- Design and implement a sophisticated risk appetite framework specifically tailored to data and AI activities, incorporating quantitative and qualitative measures, scenario planning, and stress testing methodologies. This framework will inform strategic decision-making regarding the adoption and deployment of data and AI technologies.
- Proactively identify and assess emerging data and AI risks, including those stemming from technological advancements, regulatory changes, and evolving ethical considerations. Develop and implement preventative strategies to mitigate these risks before they materialize.
- Design and oversee the implementation of a comprehensive data and AI governance framework that establishes clear roles, responsibilities, and accountabilities across the organization. This includes the creation and enforcement of policies, standards, and procedures. Continuously enhance this framework based on emerging risks, lessons learned, and best practices.
- Provide strong leadership and direction to the Data and AI Risk team, ensuring effective challenge, oversight, and monitoring of data and AI activities across the bank. Leverage influence to drive adoption of best practices and risk mitigation strategies across the organization.
- Maintain a deep understanding of evolving data privacy regulations (e.g., GDPR, CCPA) and AI-related regulations globally. Engage with industry bodies, regulatory agencies, and external experts to stay ahead of emerging trends and best practices.
- Serve as a recognized thought leader internally and externally on data and AI risk management, representing the bank at industry events and conferences. Effectively communicate complex risk information to diverse audiences, including senior executives, the Board, and regulatory bodies.
- 15+ years of progressive experience in risk management, with at least 5 years dedicated to Second Line of Defence within a large financial institution, with a proven track record of successfully managing complex data and AI risk landscapes. Demonstrated experience in shaping and influencing strategic risk direction is essential.
- Executive-level experience, preferably as a senior leader within a risk function of a large, complex organization.
- Expertise in data risk, data governance, AI ethics, and model risk management, with a deep understanding of data and AI technologies. Familiarity with machine learning, deep learning, natural language processing, and model development lifecycles is essential.
- Proven ability to develop and implement sophisticated risk management frameworks and methodologies, including risk appetite frameworks, scenario planning, and stress testing.
- Exceptional communication, presentation, and influencing skills with demonstrated ability to communicate complex information effectively to diverse audiences.
- A degree in a relevant field (e.g., Computer Science, Engineering, Mathematics, Statistics, Finance). Relevant professional certifications (e.g., CRISC, CISM, FRM, etc.) are highly desirable.
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