At a Glance
- Tasks: Join us to design fraud detection strategies and analyse user data in a dynamic gaming environment.
- Company: Tripledot Studios is a leading mobile games company, known for its innovative and engaging titles.
- Benefits: Enjoy hybrid working, daily free lunch, 25 days holiday, and support for your professional development.
- Why this job: Be part of a passionate team shaping the future of gaming while tackling exciting challenges.
- Qualifications: Strong experience in fraud detection, SQL proficiency, and a proactive mindset are essential.
- Other info: Work with a diverse team and enjoy regular company events celebrating achievements and culture.
The predicted salary is between 25000 - 37500 £ per year.
Department: Marketing
Location: London, UK
Tripledot Studios is on track to become one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, and following our recent acquisition announcement, we’re preparing to grow into a global 2,500+ strong team across 12 studios. Our expanded portfolio is set to include 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 remains the same: 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 & detail orientated people, who LOVE making games. Our ambition is to become the most successful games company in the world, and we’re just getting started.
Role Overview
This role offers a unique opportunity to work on a brand new product that Tripledot is building. You will be able to build and shape fraud prevention strategies from the ground up within a fast-growing, innovative mobile gaming environment. You will be at the forefront of detecting emerging fraud patterns, collaborating with cross-functional teams to integrate cutting-edge solutions, and continuously refining systems to stay ahead of evolving threats. The ideal candidate is proactive, detail-oriented, and passionate about using data to solve complex problems, with a keen interest in building scalable fraud detection frameworks that evolve alongside our business.
Key Responsibilities
- Design and implement fraud detection logic by analyzing user data to identify suspicious and fraudulent activities.
- Develop and maintain SQL-based rules and detection systems in collaboration with engineering teams.
- Monitor and analyze fraud patterns, setting up thresholds and alerts to proactively identify potential fraud.
- Work closely with the user acquisition team to validate and prevent fraudulent users from entering the platform.
- Collaborate with product and engineering teams to integrate third-party fraud detection vendors and tools, such as VPN and geo-location detection.
- Build and maintain self-serve dashboards and reports to track fraud KPIs and provide regular updates to stakeholders.
- Respond to fraud incidents by investigating flagged users and coordinating with customer support on appeals and user management.
- Lead efforts to continuously improve fraud prevention strategies, adapting to emerging fraud tactics and trends.
- Communicate findings and collaborate effectively across cross-functional teams to ensure a secure and trustworthy user environment.
Required Skills, Knowledge and Expertise
- Strong experience in fraud detection and prevention, ideally within mobile apps, Ad Tech, or Fintech industries.
- Proficient in SQL with the ability to write and optimize complex queries for data analysis and rule creation.
- Skilled in building self-serve dashboards and reports using tools such as Looker, Tableau, or similar platforms.
- Solid analytical skills with experience in ad hoc data requests and KPI monitoring related to fraud metrics.
- Ability to design and implement fraud detection logic and suspicious activity rules in collaboration with engineering teams.
- Comfortable working cross-functionally with product, user acquisition, engineering, and customer support teams.
- Excellent communication and collaboration skills to effectively share insights and coordinate fraud prevention efforts.
- Familiarity with VPN and geo-detection technologies and integrating third-party fraud detection vendors is a plus.
- Knowledge of Python is desirable but not mandatory, to support data analytics workflows.
- Experience with A/B testing and data-driven decision making to evaluate fraud prevention measures.
- Creative and proactive mindset to anticipate and respond to evolving fraud tactics and patterns.
Working at Tripledot
- 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year.
- Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice.
- 20 days fully remote working: Work from anywhere in the world, 20 days of the year.
- Daily Free Lunch: 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.
- Private Medical Cover & Health Cash Plan.
- Dental Cover.
- Cycle to Work Scheme.
- Pension Plan.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Computer Games
Fraud Data Analyst employer: Tripledot Studios
Contact Detail:
Tripledot Studios Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in fraud detection, especially within mobile gaming. Understanding the unique challenges and solutions in this industry will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the gaming and fraud prevention sectors. Attend relevant meetups or webinars to connect with others who can provide insights or even referrals for the role.
✨Tip Number 3
Brush up on your SQL skills, particularly in writing complex queries. Being able to demonstrate your proficiency in data analysis during interviews will be crucial for this role.
✨Tip Number 4
Prepare to discuss specific examples of how you've tackled fraud detection challenges in the past. Real-world scenarios will showcase your problem-solving abilities and proactive mindset.
We think you need these skills to ace Fraud Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in fraud detection and prevention, especially within mobile apps or related industries. Use specific examples to demonstrate your skills in SQL and data analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the gaming industry and your proactive approach to solving complex problems. Mention how your skills align with the responsibilities outlined in the job description.
Showcase Technical Skills: Emphasise your proficiency in SQL and any experience with tools like Looker or Tableau. If you have knowledge of Python or familiarity with VPN and geo-detection technologies, be sure to include that as well.
Highlight Collaboration Experience: Since the role involves working cross-functionally, provide examples of past experiences where you successfully collaborated with different teams, such as engineering or customer support, to achieve common goals.
How to prepare for a job interview at Tripledot Studios
✨Showcase Your Analytical Skills
As a Fraud Data Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used SQL to detect fraud patterns or optimise queries. Highlight any experience you have with building dashboards or reports, as this will demonstrate your technical proficiency.
✨Understand the Gaming Industry
Familiarise yourself with the mobile gaming landscape and the common types of fraud that occur within it. Being able to discuss industry trends and challenges will show your genuine interest in the role and help you connect with the interviewers.
✨Prepare for Technical Questions
Expect technical questions related to fraud detection logic and SQL. Brush up on your knowledge of VPN and geo-location technologies, as well as any relevant tools like Looker or Tableau. Practising these concepts will help you feel more confident during the interview.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in previous roles. Emphasise your communication skills and your ability to coordinate efforts across different departments.