Rakuten Viber

Director, Data Analytics – Risk & Fraud

Rakuten Viber

full-time

Posted on:

Origin:  • 🇮🇱 Israel

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Job Level

Lead

Tech Stack

AWSCloudCyber SecurityPythonSparkSQLTableau

About the role

  • Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
  • Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
  • Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
  • Leverage the extensive data received from our application to enhance model performance and accuracy.
  • Research and develop deep learning models to identify bad actors, prevent fraud, build anomaly detection models, and perform analytics at high scale.
  • Create alignment across different divisions, focus on strategic business KPIs, and lead other managers to collaborate and perform shared goals.
  • Deliver outcomes that significantly impact the business by deploying solutions to production and measuring proven impact.

Requirements

  • 7+ years of experience in hands-on working on spam and fraud problems at a scale of at least 1MM transactions/events per day, deployed solutions to production with a proven impact.
  • 3+ years of experience in managing Spam, fraud prevention and risk teams at a corporation, preferably in fintech or cyber-tech companies with a proven business impact.
  • 3+ years of experience in Python, SQL, and AWS cloud.
  • Ability to write readable and maintainable code.
  • Master’s degree in Statistics, Finance, Data Science, or Computer Science.
  • Preferred: background in data science or cybersecurity with a focus on spam and fraud.
  • Preferred: proven track record of reducing fraud and spam actors at scale, with strong type-1 and type-2 error estimates.
  • Preferred: strong understanding of hypothesis testing and RCT.
  • Preferred: background in applied statistics.
  • Preferred: experience working at scales >10MM transactions/day.
  • Preferred: experience with Athena/Trino, Spark, AML, CI/CD, and Tableau.