
Director, Data Analytics- Risk & Fraud
- Киев
- Постоянная работа
- Полная занятость
- 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.
- 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 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.
- 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 RCT. Background in applied statistics.
- Working in high scales of