At a Glance
- Tasks: Analyse fraud signals and enhance user segmentation for our gaming platform.
- Company: Join Tripledot Studios, a leading mobile games company with a vibrant culture.
- Benefits: Enjoy 25 days holiday, hybrid working, free lunches, and professional development opportunities.
- Other info: Be part of a dynamic team with exciting career growth potential.
- Why this job: Make a real impact in the gaming industry while tackling evolving fraud challenges.
- Qualifications: Experience in fraud analysis and data-driven decision-making is essential.
The predicted salary is between 51750 - 63250 £ per year.
Who are we?
Tripledot
Studios is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
The role is working within our studio: Puzzle Play
Puzzleplay is Tripledot’s new player rewards platform, designed to make playing our games even more fun and engaging.
By playing our casual, free to play mobile games, users can earn points, complete challenges, and win real prizes.
It’s our way of giving back to players and rewarding them for doing what they already love.
Puzzleplay is a key part of our growth strategy, combining smart engagement mechanics with high-quality game content.
Role Overview
Puzzleplay at Tripledot Studios is looking for a data analyst to own the fraud side of its user segmentation work.
The team is building a system that combines fraud and activity signals to understand users and inform revenue-share decisions.
You'll work with the analyst responsible for gameplay signals, alongside product and data colleagues, to keep that system useful as fraud patterns change.
Fraud patterns keep changing, so you'll regularly revisit the signals behind the segments and help the product team decide which verification methods make sense in each market.
This role is open to candidates based in Europe; Warsaw is preferred, where several of the people you'll work with are based.
Key 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 Face Tec 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.
- Required Skills, Knowledge and Expertise
- 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
- Hybrid Working
- 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 Just Eat.
- 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.
Fraud Analyst in London employer: Tripledot Studios
Tripledot Studios is an exceptional employer, offering a vibrant work culture that thrives on creativity and innovation in the mobile gaming industry. With a strong emphasis on employee growth, the company provides continuous professional development opportunities, hybrid working arrangements, and generous benefits such as 25 days of paid holiday, daily free lunches, and comprehensive health coverage. Located in San Francisco, employees enjoy a dynamic environment where they can collaborate with talented individuals and contribute to the success of award-winning games that engage millions worldwide.
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We think this is how you could land Fraud Analyst in London
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We think you need these skills to ace Fraud Analyst in London
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
