Director, Data Analytics- Risk

4 weeks ago

Taguig, National Capital Region, Philippines Rakuten Viber Full time
Overview

Director, Data Analytics- Risk & Fraud at Rakuten Viber — join to apply. Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of users and be part of a mission to make people's lives easier by enabling meaningful connections, from family and friends to managing business relationships and pursuing passions.

As a Director in Analytics, you will work in a highly collaborative environment with extensive data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale.

As a senior manager, you are expected to align across divisions, focus on strategic business KPIs, and lead other managers to collaborate and achieve shared goals. Successful outcomes in this role will significantly impact the business.

Responsibilities
  • 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 from the application to enhance model performance and accuracy.
Qualifications
  • 7+ years of hands-on experience working on spam and fraud problems at a scale of at least 1M transactions/events per day, with production deployments and measurable impact.
  • 3+ years of experience managing fraud prevention and risk teams at a corporation, preferably in fintech or cyber-tech with 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.
Advantages
  • Background in data science or cybersecurity with a focus on spam and fraud.
  • Proven track record of reducing fraud and spam actors at scale, with strong type-1 and type-2 error estimates.
  • Strong understanding of hypothesis testing and randomized controlled trials. Background in applied statistics.
  • Experience working with high transaction scales (>10MM transactions/day).
  • Experience with technologies like Athena/Trino, Spark, AML, CI/CD, and Tableau.
Seniority level
  • Director
Employment type
  • Full-time
Job function
  • Research, Analyst, and Information Technology
  • Industries: Software Development
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