Senior Antifraud Data & Process Analyst

Обязанности

• Build and maintain dashboards and automated reports on fraud rates, savings, verifications, and key KPIs.
• Create scripts and logic for detecting fake activity and other fraud scenarios e.g., fraudulent orders, promo abuse.
• Analyze recruitment, activation and promo data to spot unusual patterns Integrate new data sources and contribute to cross functional data collaboration.
• Support new data source integration and cross team data collaboration.
• Provide ad hoc support for fraud investigations and strategic reviews.
• Document fraud verification processes end to end, covering all verticals.
• Review and optimize SOPs in collaboration with technical and operational teams Identify inefficiencies or gaps and propose automation or redesign of fraud workflows.
• Support cross team workshops and build visual process maps.
• Define and track process KPIs related to fraud mitigation performance.
• Prepare reports based on available data for management.

Требования

• 3-5 years of experience in data analysis and business process analysis, with a strong background in financial, economic security, or risk management sectors.
• Proven experience in advanced data analysis, visualization, and reporting, using tools like Python, R, SQL, Tableau, or Power BI.
• Extensive experience in developing and implementing analytical models and strategies to detect and prevent fraud.
• Advanced SQL and Database Management.
• Proficiency in Python or R for Data Analysis.
• Data Visualization Tools (e.g., Tableau, Power BI) Google Sheets and Excel.
• Advanced Functions and Macros.
• Data Mining and Pattern.
• Recognition skills.
• Complex Statistical Analysis.
• English C1+

Условия

• Stable salary, official employment.
• Health insurance.
• Hybrid work mode and flexible schedule.
• Relocation package offered for candidates from other regions.
• Access to professional counseling services. including psychological, financial, and legal support.
• Discount club membership.
• Diverse internal training programs.
• Partially or fully payed additional training courses.
• All necessary work equipment.