Fraud Data Analyst

Department: Marketing

Employment Type: Permanent - Full Time

Location: Toronto, CA

Description

Role Overview

• 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