Description
The Department of Fraud Prevention is seeking a Data Analyst who will provide the department head and teams with accurate, timely data and analytical insights for decision-making.
Responsibilities
- In-depth traffic analysis, identification of patterns and anomalies characteristic of gambling, betting, etc.
- Setting up a monitoring and reporting system
- Development and validation of algorithms to restrict gray traffic
- Supporting the department head with data for communication with partners.
Requirements
- Confident knowledge of SQL, Python, PySpark (in terms of developing scripts for regular reports and executing AD-HOC queries)
- Experience with data visualization Matplotlib, QlikSense, or similar
- Creative approach to work, ability to independently research assigned tasks, identify patterns and regularities in similar cases
- Understanding of current schemes for using banking products for illegal activities (gambling, betting, casinos, crypto exchanges, illegal fundraising, etc.)
- Experience in Anti-Fraud or compliance is desirable (experience in setting up and implementing Fraud Monitoring algorithms will be a plus)
- Strong communication skills, ability to communicate within a team, share knowledge, and learn from colleagues' experience
- Proactive attitude and involvement in the department's work.
Conditions
- Comfortable and modern office near Kutuzovskaya metro station
- Office-based work format
- Corporate gym and recreation areas
- Extended voluntary health insurance (VHI/DMS) and preferential insurance for family
- More favorable mortgage for employees (up to 4% discount)
- Corporate pension program
- Bonus for recommending friends to join the Sber team
- Discounts on products from partner companies.
