spinhireFraud Analyst (iGaming)
À propos du spécialiste
Data Analyst with experience in anti-fraud analytics across advertising and payment domains. I work with transactional and user data, develop metrics to monitor traffic and payment quality, and prepare data for ML models. I participate in A/B testing and evaluate the impact of product changes on key business metrics. My main focus is identifying anomalies, detecting fraudulent patterns, analyzing payment and user behavior, and automating recurring analytical processes.
Compétences
Expérience de travail
Jan 2024 - Present · Fraud Analyst · Softwise — • Recalibrated thresholds for key anti-fraud metrics, increasing fraud detection by ~6%; • Redesigned the fraudster overlap metric, improving detection accuracy by ~13%; • Automated analytical processes, reducing manual workload by ~8%; • Identified anomalies in transactional and user data, as well as time series, including seasonality, behavioral patterns, and fraud patterns; • Prepared data for ML models, including feature engineering and data aggregation; • Conducted A/B tests and evaluated the impact of changes on product metrics, including detection rate and false positive rate; • Optimized and refactored code to improve performance and efficiency; • Onboarded and mentored new team members
Éducation
National Research University Higher School of Economics (HSE University) Big Data Analytics Peter the Great St. Petersburg Polytechnic University (SPbPU) Applied Mathematics and Physics
Langues
Russian, English B1