Lead Product Manager, Risk Decisioning

Location: United States; United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Credit Pillar. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. About The Role ✍️ We’re hiring a hands-on Lead Product Manager to drive Cleo’s Pay Later risk decisioning roadmap. You’ll build the risk models, credit limits and policies that decide who qualifies for Pay Later and how much credit they get, leading a cross-functional squad across Engineering, ML and Risk. Key Responsibilities - Improve our risk models, taking them through approval, testing and rollout - Set credit limits and pricing policy, including new risk grids and spending power rules - Own our bureau data partnership (TransUnion) - what data we collect, when, and how it feeds our models - Spot and fix gaps in our data and reporting, working with central data teams - Build solutions to catch fraud within Pay Later WHAT WE'RE LOOKING FOR 🕵️ - Deep, hands-on experience in fintech risk, credit or underwriting - model-literate across the full ML lifecycle, from discovery to deployment - Proven record of moving business metrics (not just feature-level metrics) on a fast-scaling product - Comfort owning ambiguity - working with limited data, unproven models and pending approvals, and making the trade-offs between pricing, limits and credit risk - Strong data fluency - runs A/B tests, writes SQL, and translates data into compelling stories - Deep understanding of US consumer finance regulation (e.g. Reg Z, Reg B), with experience working alongside legal, compliance and banking partners WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!