6 дней назад
Senior Anti-Fraud Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Anti-Fraud Analyst (AI): Improving fraud detection accuracy across Sumsub products by investigating live production data, tuning detection logic, and evaluating suspicious-activity signals with an accent on anomaly detection, machine learning, and link-based analysis. Focus on identifying emerging fraud patterns, reducing false positives and missed fraud, and turning complex analytical findings into concrete product recommendations.
Location: Fully remote. Work from the place that works best for you with no mandatory office days; occasional company offsites are held in person.
Company
provides AI-powered trust infrastructure for identity and business verification, fraud prevention, transaction monitoring, and risk workflows.
What you will do
- Explore live production data to identify emerging fraud patterns, anomalous activity, and gaps in detection logic.
- Develop and tune fraud detection approaches using rules, supervised and unsupervised models, anomaly detection, and link-based analysis.
- Evaluate fraud signals, detection quality, false positives, false negatives, and missed fraud.
- Build and optimize baseline rule sets and proactive alerts for common and emerging fraud scenarios.
- Analyze client traffic and alert flows and recommend concrete improvements.
- Translate analytical findings into product recommendations and support complex, data-intensive client cases.
Requirements
- 4+ years of experience in anti-fraud, risk analytics, applied data science, or a comparable analytical role involving complex data and anomaly detection.
- Strong knowledge of exploratory data analysis and classical machine learning, including supervised and unsupervised methods.
- Practical experience with anomaly detection, clustering, and link-based or graph analysis.
- Strong Python and SQL skills, plus hands-on experience with ClickHouse, Trino, Superset, dbt, DataHub, or comparable tools.
- Ability to identify data-quality issues, bias, leakage, overfitting, and misleading model results.
- Fluent English required.
Culture & Benefits
- Remote-first, trust-based culture with flexible working hours and no attendance trackers.
- Offices or coworking spaces may be available in some locations, but office attendance is optional.
- Birthday holiday, 10 personal days, seven sick days without paperwork, and additional Christmas and New Year time off.
- Learning opportunities, personal development plans, and coverage of role-specific events.
- Financial bonuses for marriage and welcoming a new baby.
- Fully covered team offsites several times a year, plus the tools and hardware needed for work.
Hiring process
- TA screening.
- Hiring Manager interview.
- Final interview.
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