AI Model Validation Lead

2 days ago

Hong Kong Island, Hong Kong SAR China Prudential plc Full time

We seek a passionate and experienced AI professional to develop, manage and execute our AI Model Validation processes across the Prudential Group. The AI Model Validation Lead will build a team and the required processes that provide confidence in our AI systems’ ability to deliver business benefits with all risks managed appropriately. The team will validate internally built use cases as well as vendor and off‑the‑shelf solutions. The team will execute validation in internal systems (Databricks, GCP, etc.) and also manage independent third‑party assessments. The position plays a critical role in scaling AI at Prudential, providing appropriate automations and technical support to streamline AI governance processes. The successful candidate must have strong technical abilities in AI and machine learning. Key Responsibilities: Establish a high-level standardized validation framework that comprehensively assesses accuracy, fairness, robustness, and reliability across model types and use cases. Curate test and validation datasets that allow for adequate testing on AI models. Integrate risk-based scoring frameworks to classify models by impact and sensitivity, guiding the depth of validation required. Design testing frameworks for individual AI models that are appropriate for each model’s risk profile. Expand validation coverage to include adversarial testing, edge‑case analysis, challenger models and stress testing for high‑risk deployments. Automated and Streamlined Model Evaluation: Develop a library of tests to be reused across similar use cases (e.g., standard tests for OCR, cross‑sell models, etc.) Embed validation checkpoints into CI/CD pipelines and the SDLC to enable continuous, scalable oversight of model performance. Develop and make available modular evaluation tools tailored for Traditional AI, Generative AI, and Agentic AI systems, ensuring flexibility and reuse. Develop processes to detect model degradation such as drift detection, and build alerting mechanisms to monitor model behaviour post‑deployment and trigger re‑validation when needed. Work with stakeholders across the organization, including data scientists, engineers, business leaders and LBUs to ensure sufficient input and buy‑in for decisions and clear requirements are defined. Communicate both technical and business concepts fluently with stakeholders. Lead and influence to gain commitment to change. Establish and maintain external relationships with vendors. Other Responsibilities: Stay up to date with industry trends and technical developments across the AI ecosystem. Participate in industry forums and working groups that advance AI adoption. Stay abreast of Prudential’s AI Objectives and AI Strategy. Requirements: Significant experience developing and deploying AI and machine learning solutions into production environments. At least 10 years of experience in data science or AI in financial services. Strong understanding of AI and machine learning evaluation methods. Excellent communication and interpersonal skills, with the ability to build relationships. Strong experience with Azure Databricks. Experience with Google Cloud (Vertex AI) is a nice to have. Strong experience with Dev/Data/ML/AI Ops (a preference for experience with ML or AI Ops). Experience in API development. The ability to work in a dynamic and fast‑paced environment. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Insurance #J-18808-Ljbffr

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