Position not open anymore
Responsibilities
- 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.