Compare the Market

AI Governance Manager – AI Systems & Risk Function: Data / AI Governance Location: London Curious about what’s next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers. We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in. What you’ll be doing: - Provide first-line governance for AI systems across their full lifecycle, from design through to deployment, monitoring,change and incident response - Lead technical assessments for AI “License to Operate” decisions, presenting clear, evidence-based recommendations to senior governance forums - including recommendations to escalate, redesign, or withhold approval where warranted - Independently evaluate and probe AI systems (including generative and agentic systems) to verify that they are safe, robust, and operating within risk appetite - Apply and contribute to evaluation, observability, and safety standards, and translate them into measurable system controls - Assess risks across complex AI systems, including multi-component interactions, agentic behaviours, foundation model supply chain risk, and emergent failure modes - Produce the technical risk picture for built AI systems - assessment, reporting, and metrics that feed governance forums and CTM's overall AI risk position - Consult on the design of high-risk AI systems, feeding in governance requirements early and providing constructive challenge through development - Partner with Data Science, ML Engineering, Software Engineering, Risk & Compliance teams, and inform the evolution of governance standards as AI capabilities and practice develop What we’re looking for: You’ll bring demonstrable technical depth in AI systems in production - through hands-on engineering, applied research, or comparable practitioner experience. You have strong instincts for AI safety and risk: able to identify what could go wrong with a system, reason about likelihood and impact, and recommend mitigations that work in practice. You're genuinely interested in how AI systems fail - including the non-obvious and emergent failure modes - and you can design and critically assess evaluation approaches for AI systems, including generative AI, RAG, and agentic architectures, rather than just applying off-the-shelf metrics. You're comfortable operating as advisor and assessor rather than builder, and comfortable being the dissenting technical voice in the room with senior stakeholders - able to make an evidence-based case for slowing down or rethinking delivery when warranted, while recognising when concerns don't justify holding things up. You'll write clearly and concisely - analysis that equips senior decision-makers to act. A background in data science, ML engineering, or AI safety/evaluation research is a strong plus, as is experience with approaches like multi-step evals, LLM-as-judge, or red-teaming, or operating in a regulated consumer or financial services environment. Why Compare the Market? We’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress. We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive. If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you