Senior Anti-Fraud Engineer (Full-Time)
Core
Build systems to detect and stop fraud on the Toloka platform using analytics and applied ML, turning data insights into production defenses.
Role type
Senior IC anti-fraud engineer (analytics & ML)
Builds
Production ML models, rules, heuristics, and automated pipelines for fraud detection
Domain
AI safety, fraud detection, data analytics
Deliverable
production ML models
Required skills
SQL, Python, ML model training and evaluation, data pipeline orchestration (Airflow), hypothesis-driven analysis, product sense for protection trade-offs
Preferred skills
LLM application, anomaly detection, graph analysis, behavioral modeling, Databricks, crowdsourcing platforms
Technologies
SQL, Python, Airflow, ClickHouse, LLMs, Databricks
Responsibilities
Explore data to identify fraud patterns and anomalies; Design metrics and build dashboards for protection visibility; Generate and test hypotheses from data; Build and maintain data pipelines; Design defenses anticipating attacker bypasses; Own solutions from insight to deployment and monitoring; Shape anti-fraud rules and policies
