Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Fraud Data Analyst

Tripledot Studios
Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Fraud Data Analyst

Fraud Data Analyst

Fraud Data Analyst

Fraud Data Analyst

Fraud Data Analyst

Graduate Fraud Data Analyst

Tripledot Studiosis 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, whoLOVEmaking games.

Our ambition is to become the most successful games company in the world, and we’re just getting started.

Take a look at our games:+

Puzzleplay

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. Department Marketing Employment Type Permanent - Full Time Location London, UK Workplace type Hybrid Reporting To

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 holidayin 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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.