Senior Analytics Engineer – Antifraud

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design, develop, and enhance fundamental anti-fraud data models utilizing ClickHouse and dbt.

• Generate reliable and well-documented datasets for evaluating and contrasting detection performance.

• Assist in establishing shared metrics and standards across various teams.

• Take ownership of data quality, including creating tests, documentation, lineage tracking, and monitoring processes.

• Collaborate with Data Engineering, Product teams, and anti-fraud specialists to incorporate new data sources.

• Evaluate the performance of anti-fraud tools across different products, clients, and fraud scenarios.

• Create repeatable methodologies for evaluating modifications to detection logic.

• Convert insights into practical recommendations for Product teams and clients.

• Provide support for intricate, data-intensive client cases as necessary.

• Report directly to the Head of Product Analytics.

⛳️ Requirements

• A minimum of 4 years of experience in analytics engineering, data engineering, or product analytics, with a strong emphasis on data modeling.

• Proficient in SQL and possess strong data modeling capabilities, including dimensional modeling, event data, slowly changing dimensions, incremental models, and clear table grain.

• Practical experience with dbt or a similar tool, encompassing testing, documentation, incremental materializations, and code reviews.

• Hands-on experience with ClickHouse or another columnar data warehouse, as well as large event-level datasets.

• Strong Python skills for data analysis and related tasks.

• Understanding of detection-quality evaluation metrics, including confusion matrices, precision/recall, PR and ROC curves, threshold trade-offs, and error cost analysis.

• Capability to identify bias, leakage, and misleading metrics in imperfect datasets.

• Ability to articulate findings to product managers and clients using clear logic, numerical data, and concrete examples.

• Direct experience with AI tools in analytics and data engineering, or a strong willingness to integrate them into the workflow.

• Proficient in English.

🏝️ Benefits

• A remote-first, trust-driven culture with no mandatory office attendance or tracking.

• Flexible working hours without a strict 9-to-5 schedule.

• A day off on your birthday.

• 10 personal days provided annually.

• Seven sick days available without requiring paperwork.

• Additional time off during Christmas and New Year.

• Role-specific learning opportunities and coverage for professional events.

• Financial bonuses for marriage and the arrival of a new baby.

• Fully sponsored team offsites multiple times a year.

• Necessary tools and hardware provided to facilitate work.

• Commitment to equal opportunity and fostering a diverse, inclusive workplace.