Fraud Analyst

Papaya is one of the world's fastest-growing mobile game companies, providing entertainment for millions of users across multiple apps. The company is headquartered in the heart of Tel Aviv. As a Fraud Analyst you will use data models to detect existing and potential fraud in Papaya games. You will work closely with the internal teams (RnD, Support, Data) in order to measure the fraud impact and find the right solutions to prevent that.Requirements:4+ years of proven hands-on experience as a fraud Analyst4+ years of experience in B2C or 2+ years in Gaming Industry analyzing large datasets centric roleB.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent backgroundStrong SQL with experience in querying large complex data setsExperience with BI Visualization tools (Tableau/Looker)Vast knowledge in A/B testing including statistical methodsWork experience analyzing large datasets in an Analytics / Product / Monetization centric role- AdvantageExperience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) – AdvantageSoft Skills RequirementsThrive in an environment of a fast-growing startupAbility to turn complex concepts into actionable recommendationsA true passion for understanding consumers’ social gaming behaviorResponsibilities:As the first Fraud Analyst at Papaya you will:Lead & initiate the company fraud effort from a data point of viewOn going research of users behavior, find baselines and anomaliesDevelop and implement risk management policies, algorithms, tools and procedures to combat fraud related risksBuild automations in order to investigate fraud patterns and users complaintsCreate data reports and dashboardsCollaborate with cross-functional teams including CRM, Product, Legal, Marketing, etc.Investigate through data suspected fraudulent activities and recommend appropriate actions to mitigate risksTake part in risk assessments and mitigation plans creation and developmentCreate end to end risk/fraud alerts base on data science and trends analysisDevelop and maintain risk and fraud-related reports for management reviewMonitor transactions and user activity to identify suspicious patterns and trendsStay up-to-date with industry trends and emerging technologies related to fraud prevention and detection