Lead the development and execution of in-app anti-fraud strategy, addressing threats such as GPS spoofing, bots, SMS flooding, and loyalty program abuse.
Research and design effective fraud detection and blocking patterns to counter emerging threats.
Perform deep data analysis to identify fraud trends and proactively surface new prevention opportunities.
Build and refine KPIs, dashboards, and analytical tools to monitor and assess in-app fraud risks.
Investigate anomalies in key metrics, generate hypotheses, and deliver actionable insights to cross-functional stakeholders.

Qualifications

3+ years of experience in anti-fraud, risk analysis, or a similar function.
Hands-on experience with mobile security technologies such as Play Integrity and Apple Device Check.
Strong analytical and critical thinking skills, with the ability to prioritize solutions based on impact and resource efficiency.
Proficiency in Python and relevant data analysis libraries (e.g., pandas, NumPy).
Advanced SQL skills, including working with large datasets and building analytical data marts.
Experience with BI tools such as Plotly, Redash, or Tableau.

Conditions & Benefits

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 paid additional training courses.
All necessary work equipment.