The ideal candidate is an experienced analytical team leader who has led data analysts or fraud/risk operations professionals in a production-oriented environment. We are also open to exceptional individual contributors who have demonstrated clear leadership potential, strong ownership, and the ability to influence and guide others beyond their formal role. You will own the team's research output, guide the shift toward more data-driven ways of working, and serve as the primary point of contact for a wide range of internal stakeholders, from day-to-day operational partners to senior leadership. Key Responsibilities: Lead and develop the Fraud Operations team, fostering a data-driven, research-oriented culture Generate research-driven insights and oversee gap analyses to identify weaknesses in fraud detection processes and models Ensure delivery of high-quality, production-ready analytical updates with measurable impact Serve as the primary cross-functional interface with partner teams including R&D, BI, Product, Support, and Management Guide the team's adoption of AI-powered tools and modern analytical practices Engage confidently with senior leadership, maintaining focus and clarity under pressure Requirements: 3–6 years of hands-on experience as a Data Analyst, including proven leadership experience; prior experience managing or professionally leading analysts is strongly preferred, while exceptional senior individual contributors with demonstrated leadership potential will also be considered Proven ability to work responsibly in production-sensitive environments, remain composed under pressure, contain complex operational situations, and drive clear, practical resolution across teams Proficiency in Python and core data libraries (pandas, NumPy, visualization and stats packages) Strong SQL skills and experience working with large datasets in production Proficiency in leveraging LLM-based tools as part of day-to-day work Excellent interpersonal and communicatio
