Fraud Analyst

2 Months ago • 4-4 Years • Data Analyst

Job Summary

Job Description

As the first Fraud Analyst at Papaya, you will lead the company's fraud prevention initiatives using data analysis. Responsibilities include ongoing user behavior research, developing risk management policies and algorithms, building automations to investigate fraud patterns, creating data reports and dashboards, collaborating with cross-functional teams, and investigating suspected fraudulent activities. You will also participate in risk assessments, develop fraud alerts, maintain reports for management review, and monitor transactions for suspicious patterns. This role requires expertise in data analysis, SQL, BI tools, A/B testing, and ideally Python.
Must have:
  • 4+ years fraud analysis experience
  • Strong SQL & large dataset analysis
  • BI tool experience (Tableau/Looker)
  • A/B testing & statistical methods
  • Lead fraud prevention efforts
Good to have:
  • Gaming industry experience
  • Python (Pandas, SciPy, NumPy)
  • Data visualization skills

Job Details

Description

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.

Responsibilities

As the first Fraud Analyst at Papaya you will:

  • Lead & initiate the company fraud effort from a data point of view
  • On going research of users behavior, find baselines and anomalies
  • Develop and implement risk management policies, algorithms, tools and procedures to combat fraud related risks
  • Build automations in order to investigate fraud patterns and users complaints
  • Create data reports and dashboards
  • Collaborate with cross-functional teams including CRM, Product, Legal, Marketing, etc.
  • Investigate through data suspected fraudulent activities and recommend appropriate actions to mitigate risks
  • Take part in risk assessments and mitigation plans creation and development
  • Create end to end risk/fraud alerts base on data science and trends analysis
  • Develop and maintain risk and fraud-related reports for management review
  • Monitor transactions and user activity to identify suspicious patterns and trends
  • Stay up-to-date with industry trends and emerging technologies related to fraud prevention and detection

Requirements

  • 4+ years of proven hands-on experience as a fraud Analyst
  • 4+ years of experience in B2C or 2+ years in Gaming Industry analyzing large datasets centric role
  • B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background
  • Strong SQL with experience in querying large complex data sets
  • Experience with BI Visualization tools (Tableau/Looker)
  • Vast knowledge in A/B testing including statistical methods
  • Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage
  • Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) – Advantage

Soft Skills Requirements

  • Thrive in an environment of a fast-growing startup
  • Ability to turn complex concepts into actionable recommendations
  • A true passion for understanding consumers’ social gaming behavior

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About The Company

Since 2019, Papaya has been committed to shaping the future of gaming through an innovative and forward-thinking approach to game development. We believe that gaming should be about more than just luck, which is why our games are designed to reward skill, strategy, and perseverance. 


Ranked by Dun’s 100 as one of the top 50 hi-tech companies in Israel to work for.

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

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