Tripledot Studios - Data Analyst

Remote - Europe£12/hour4w ago

Requirements

• Hands-on experience using data to investigate fraud and shape detection or prevention decisions, not just working alongside a fraud team. • Experience designing or improving fraud signals, user segments or review processes, with an interest in how those decisions change as tactics evolve. • The ability to work with product and other teams to turn analysis into operational fraud controls. • Working at Tripledot • 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year • 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. • Daily Free Lunch: when in the office you get £12 every day to order from JustEat. • Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. • Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. • Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] • Life Assurance & Group Income Cover: Financial protection for you and your loved ones. • Continuous Professional Development: Propel your career with continuous opportunities for professional development. • Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. • Dental Cover: Opt-in (P11d benefit). • Cycle to Work Scheme: Salary sacrifice bike purchase scheme. • Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.

Responsibilities

• Review fraud signals regularly, adding, removing and refining them to distinguish suspicious activity from legitimate users. Signals under consideration include IP spoofing, VPN use and unusual play patterns. • Own the fraud-related segments of the user segmentation system, from deciding how signals should be interpreted to monitoring how well the categories work over time. • Work with the product team on fraud verification tools for different markets. The team currently uses FaceTec for facial verification and may need other methods, such as ID scanning or phone verification, in other countries. • Investigate users flagged for manual review, including ambiguous cases in the Tremendous queue, and look for ways to improve the review process. • Identify gaps in the available signals and recommend third-party tools for the product roadmap where they would help.