An AI Safety First Line of Défense (1LoD) role within banking AI business teams acts as the operational owner of AI risk, embedding safety, compliance, and ethical standards directly into the day-to-day development, deployment, and monitoring of AI tools. This frontline business role prevents issues by ensuring alignment with regulatory frameworks (like the EU AI Act) and internal policy, rather than relying solely on post-deployment checks.
Own AI risk management for WRB AI solutions (1LoD) Act as the accountable first-line risk owner for AI use cases across wealth, retail, payments, and servicing, including GenAI, conversational AI, and agentic workflows.
Embed risk and safety controls into AI solution design Work hands-on with product and engineering teams to build risk‑by‑design and safety‑by‑design controls into AI products, such as guardrails, human‑in‑the‑loop mechanisms, response constraints, and output validation.
Partner closely with the AI Safety team Collaborate with the central AI Safety team to align on safety standards, approved control patterns, evaluation approaches, and emerging risks; adopt safety frameworks and incorporate safety reviews into AI delivery pipelines.
Implement, test, and validate AI risk & safety controls Design and validate controls covering data privacy, access management, auditability, and safe tool execution, including joint testing with AI Safety on edge cases, hallucinations, jailbreaks, and unintended behaviours.
Produce AI risk, safety, and approval artefacts Prepare and maintain AI risk assessments, safety documentation, control evidence, and testing results required for Model Risk, AI Safety reviews, and internal governance forums.
Coordinate approvals across AI Safety and Second Line Risk Engage early with AI Safety, Model Risk, Operational Risk, and Compliance to pre‑align on expectations, address findings, and ensure efficient, low‑rework approvals from design through production.
Monitor live AI solutions and manage safety incidents Track AI performance and risk indicators, respond to AI‑related safety incidents or unintended outputs, and work with AI Safety to drive continuous improvement and control enhancements post‑launch.
【Qualifications】
More than 10 years’ experience in Financial Services, especially the experience of working within the consumer banking business sector
Major in Information System / MBA Finance / Data Science is preferred
Expertise in model/data governance. AI knowledge would be an added bonus
