
Director, Data Analytics – Risk & Fraud
Rakuten Viber
full-time
Posted on:
Location Type: Office
Location: London • United Kingdom
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Job Level
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.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningrule-based enginesPythonSQLAWSdata analysismodel performancecode maintainabilityfraud detectionspam prevention
Soft Skills
leadershipcollaborationcommunicationproblem-solvingorganizational skills
Certifications
Master’s degree in StatisticsMaster’s degree in FinanceMaster’s degree in Data ScienceMaster’s degree in Computer Science