Fraud Data Analyst

Fraud Data Analyst

Department: Marketing

Employment Type: Permanent - Full Time

Location: Toronto, CA

Description

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.

Take a look at our games: iOS Store + Google Play

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.

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