Global Fraud Lead

The Company Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com , Intuit, Uber, Ryanair , Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re also available at Amazon , Flipkart , eBay , Wayfair and SE Asia’s largest company, Shopee. Our partners integrate with XCover , our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year. Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commit itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities. Our People are Bold, Authentic, Purposeful and Inspired Our People are not Perfect, Traditional, Complacent or Cautious About the role Cover Genius is strengthening its fraud prevention to support continued global growth. As the Global Fraud Lead, you will design and scale a fraud detection and investigation system that protects our loss ratio through automation. Your goal is to transition the company from manual investigations to a technical, automated model. You will improve our current technology to ensure it can handle rapid scaling across all business verticals. You will be responsible for the logic behind our fraud detection: defining how we identify fraud patterns and managing the confidence scores that drive automated decisions. What You'll Do: Architect the Fraud Taxonomy : Treat the fraud engine as a core product. You will define the key fraud indicators as a "Source of Truth" for fraud patterns across EMEA, AMER, and APAC, translating insurance-specific risks (e.g., Claims Ballooning, Ghost Broking) into technical triggers for the Product team. Optimize the Machine Learning Feedback Loop : Crucially, you will manage the product feedback loop: your team will receive notifications from the Product team to review and investigate cases identified by our fraud tools, drive outcomes on an individual case level and provide the expert confirmation needed to train and optimize our tooling over time. Govern "Human-in-the-Loop" Confidence Scores : Support building the logic that governs automated adjudication. You will define the confidence score thresholds that determine when a claim is processed in a fully automated way vs. when it is escalated for human review. You will partner with Product teams to deploy real-time anomaly detection at the intake stage to stop leakage before a claim is even registered. Execute Rigorous Fraud Auditing : Establish a high-frequency audit cadence. This includes conducting weekly post-payment audits to identify missed fraud patterns and performing mandatory pre-payment audits for all large loss claims. You will use these findings to close technical gaps and update the fraud engine's logic. Lead the Hybrid Labor & SIU Strategy : Design and manage a high-leverage labor model. You will oversee scalable BPO partners to clear low-complexity, high-volume anomaly flags, while personally leading an elite, data-literate internal Fraud Operations Team. This team will focus on dismantling fraud across all verticals. Global Compliance : Ensure every data-driven fraud denial and automated decision is 100% compliant with regulatory standards (e.g. FCA, ASIC, and NAIC). You oversee investigations into organised fraud and will partner with Legal & Compliance teams to ensure our fraud engine meets all specific insurance regulations, protecting the company from legal risk and reputational damage. Build fraud reporting systems You will analyze global fraud trends to create clear, actionable risk reports. Your job is to set the standards for how we brief the Board, executive leadership, and insurance partners. You’ll be the lead voice on whether our current tools are actually stopping fraud and where we need to improve our defenses. What We're Looking For : 10+ Years of Leadership: Significant experience in fraud strategy, SIU leadership, or claims risk management within a high-growth fintech or insurtech environment. Product-Mindset: Experience treating fraud controls as technical features and engineering requirements rather than just manual tasks. Scale Mastery: A proven track record of managing fraud operations through rapid growth phases where volume increased 5x–10x. Insurance Technicality: Deep understanding of how fraud manifests specifically in Travel, Logistics, Retail, and Mobility. Regulatory Sophistication: Knowledge of global insurance regulatory frameworks and experience managing "audit-ready" fraud operations. Why Cover Genius? Cover Genius not only cares about being the best in our industry, we care about our team. We’re a business that understands life can be fluid and so we flex to ensure we provide the environment to suit that. What does that mean? • Flexible Work Environment - Our teams are hybrid. We work from home on a Wednesday and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times. • Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company. • Work with like-minded people who are passionate about both the work we're doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system. • Social Initiatives - pictures speak a thousand words! Sound interesting? If you think you have the best composition of the above, send us your resume and let's chat! * Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full P rivacy Policy.