Founded in 2002, AU10TIX is the global leader in AI-driven identity verification and management, protecting the world's largest brands against advanced fraud. The company's future-proof product portfolio helps businesses provide frictionless customer onboarding and verification in 4–8 seconds while staying ahead of emerging threats and evolving regulatory requirements.
We are looking for a sharp, data-driven Team Leader to lead our Fraud Operations team. 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.
What you'll do
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 communication skills
Proactive problem-solver with a can-do approach
Ability to influence without authority and drive alignment across teams
Demonstrated ability to lead and develop team members, with a genuine passion for mentoring and knowledge sharing
Confident and concise communicator with senior stakeholders
Nice to have
Experience in identity verification or fraud detection
Familiarity with Elasticsearch
Familiarity with AI agent frameworks and automation workflows