About the role
Sumsub is hiring a Senior Analytics Engineer to strengthen the data foundation behind its fraud prevention capabilities. Reporting to the Head of Product Analytics, you will design and evolve core antifraud models in ClickHouse and dbt, build reliable datasets, define shared metrics, and own data quality through testing, documentation, lineage, and monitoring.
The role combines hands-on modeling with analysis of detection performance across products, clients, and fraud scenarios. You will develop repeatable ways to assess changes to detection logic and turn findings into practical recommendations for Product and clients. Sumsub asks for 4+ years in analytics engineering, data engineering, or product analytics, along with strong SQL, Python, data modeling, dbt, and detection-quality evaluation skills. The position is remote across multiple EU locations, with flexible hours and a remote-first culture.
Highlights
- Build antifraud analytics models using ClickHouse and dbt.
- Evaluate detection performance and explain findings to Product and clients.
- Own data quality, shared metrics, documentation, and monitoring.
- Remote role open in multiple EU locations.
This recap is dataskew's editorial summary, not the company's copy.