Senior Analytics Engineer – Antifraud

Job not on LinkedIn

🔥 7 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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Sumsub

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💼 Consulting

⚖️ Legal

📦 Logistics

💰 $30M Series B - Sumsub on 2022-12

Consulting • Legal • Logistics

Sumsub is a compliance-focused technology company that provides SaaS solutions for transaction monitoring, product compliance, and related operational and pre-sales support to businesses. The company appears to operate an online platform with roles across operations, legal/compliance, and technical support, and targets other businesses with its services and tools.

📋 Description

• Design, build, and evolve core anti-fraud data models in ClickHouse and dbt • Create reliable, well-documented datasets for measuring and comparing detection performance • Help define shared metrics and standards across teams • Own data quality, including tests, documentation, lineage, and monitoring • Partner with Data Engineering, Product, and anti-fraud experts to integrate new data sources • Analyze anti-fraud tool performance across products, clients, and fraud scenarios • Develop repeatable approaches for assessing changes to detection logic • Turn findings into actionable recommendations for Product and clients • Support complex, data-intensive client cases when needed • Report to the Head of Product Analytics

🎯 Requirements

• 4+ years in analytics engineering, data engineering or product analytics, with data modeling as a core part of the work • Expert SQL and strong data modeling skills, including dimensional modeling, event data, slowly changing dimensions, incremental models, and clear table grain • Production experience with dbt or a comparable tool, including tests, documentation, incremental materialisations, and code review • Hands-on experience with ClickHouse or another columnar warehouse and large event-level datasets • Strong Python for analysis and data work • Knowledge of detection-quality evaluation, including confusion matrix, precision/recall, PR and ROC curves, threshold trade-offs, and cost of errors • Ability to identify bias, leakage, and misleading metrics in imperfect data • Ability to explain findings to product managers and clients using clear logic, numbers, and concrete examples • Hands-on experience with AI tools in analytics and data engineering, or strong readiness to make them central to the work • Fluency in English

🏖️ Benefits

• Remote-first, trust-based culture with no mandatory office days or attendance trackers • Flexible working hours without a fixed 9-to-5 schedule • Birthday holiday • 10 personal days each year • Seven sick days without paperwork • Extra time off around Christmas and New Year • Role-specific learning opportunities and covered professional events • Financial bonuses for marriage and welcoming a new baby • Fully covered team offsites several times a year • Tools and hardware needed to perform the work • Equal opportunity and diverse, inclusive workplace

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