Anti-Fraud Analyst

About the company

• Sumsub is a platform for identity verification, KYC/AML compliance, and fraud prevention, used by fintech, crypto, gaming, and other industries.

Conditions

• Remote work
• Product, Multiple locations, Fully Remote

Responsibilities

• Explore live data to identify emerging fraud patterns, anomalous activity, and gaps in existing detection logic
• Develop and tune fraud detection approaches using rules, supervised and unsupervised models, anomaly detection, and link-based analysis
• Evaluate the accuracy, completeness, and predictive value of fraud signals
• Analyse client traffic and alert flows, measure false positives and missed fraud
• Build and optimise baseline rule sets and proactive alerts
• Turn analytical findings into clear product recommendations

Requirements

• 4+ years of experience in anti-fraud, risk analytics, applied data science, or another analytical role
• Strong knowledge of exploratory data analysis and classical machine learning
• Practical experience with anomaly detection, clustering, and link-based or graph analysis
• Hands-on experience in fraud prevention or fraud analytics
• Strong Python and SQL skills
• Hands-on experience with ClickHouse, Trino, Superset, dbt, DataHub, or comparable analytics tools
• Strong judgement when working with raw and imperfect data
• Ability to evaluate detection quality through false positives, false negatives
• Confident but critical use of AI-assisted analytical tools
• Fluency in English