Senior Fraud Analytics Engineer (Remote)
Key Skills
Job Description
Toloka AI is building systems to detect and stop fraud on the Toloka platform. You’ll work at the intersection of analytics and applied ML, exploring data, designing metrics, and turning insights into defenses—rules, models, and LLM-based approaches. You will own end-to-end responsibilities, from data exploration to deployed solutions and ongoing monitoring, including shaping anti-fraud rules and policies. This role supports remote or hybrid work from the Netherlands.
Core Responsibilities
Explore data and design metrics to identify fraud on the Toloka platform, then turn insights into defenses using rules, models, and LLM-based approaches. Own solutions end to end, from data exploration and deployment to ongoing monitoring, while shaping anti-fraud rules and policies.
Requirements
The role calls for senior-level experience at the intersection of analytics and applied machine learning. The posting does not specify formal education requirements or a particular number of years of experience.
About Toloka
Industry: IT Services and IT Consulting
Company size: 51-200 employees
Toloka is the global leader in human-powered data solutions for AI development. We help businesses harness human intelligence at scale to generate high-quality data that powers breakthrough AI models. With over 200,000 contributors across 50+ domains and 40+ languages, we deliver end-to-end data solutions—from dataset creation and annotation to AI agent and model development, evaluation and red-teaming. Our platform combines human expertise with advanced automation to ensure enterprise-grade quality and scalability. The world's most innovative companies trust Toloka to fuel their AI breakthroughs, including Anthropic, Amazon, Microsoft, Poolside, and Shopify. Backed by Bezos Expeditions, we're powering the next generation of AI innovation.