Dmitriy Petrakov

Built anti-fraud architecture from scratch, including data collection, risk engine logic, and integrations with MaxMind, SEON, and IPQualityScore. Tuned scoring thresholds to keep false positives under control. Detected automation via Playwright, Puppeteer, Selenium, DOM click anomalies, and JS injections. Improved deposit monitoring, proxy analysis, and evidence collection for chargeback disputes and friendly fraud cases.

Mentored junior analysts, formalized escalation levels, and improved incident response across the fraud team. Introduced checks for AI-generated and deepfake documents in KYC, ran crypto AML and blockchain tracing, prevented carding at the deposit stage, and investigated multi-account networks, poker syndicates, bonus abuse, and other product abuse patterns.

Analyzed raw PPC traffic logs to detect click farms, incentive traffic, and cookie stuffing before advertiser billing. Documented investigations for payout disputes, coordinated anti-fraud findings with account managers, and built automated dashboards that improved first-pass incident analysis and traffic quality monitoring.