Senior Anti-Fraud Engineer — Remote ML-Driven Defense

Toloka; Zwolle; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Remote or hybrid from Netherlands

Competitive compensation package

PTO and home office support

Career development

Job summary

Toloka AI is seeking a data-focused ML/analytics professional to help detect and stop fraud on our platform. You will dig into data, identify patterns, and transform insights into production defenses using rules, models, and LLM-based approaches.

Work at the intersection of analytics and applied ML, building robust data pipelines and dashboards while thinking like an attacker to preempt defensive gaps. Remote-first with teams distributed globally.

Qualifications

• Frame vague problems and define metrics to measure fraud protection.
• Test hypotheses rigorously with data and experiments.
• Build production-ready data pipelines and features for defenses.

Responsibilities

• Explore data to uncover fraud patterns and insights.
• Design metrics and dashboards to visualize protection effectiveness.
• Generate and test hypotheses; translate into rules, models or LLM-based approaches.
• Build and maintain data pipelines (SQL, Python, Airflow).
• Think like an attacker to anticipate bypass methods and harden defenses.
• Own end-to-end delivery from insight to deployed solution and monitoring.
• Contribute to anti-fraud rules and policy definitions.

Skills

Data analysis

Fraud detection

SQL

Python

ML models

LLMs

Data pipelines

Dashboarding

Tools

ClickHouse

Airflow

Databricks

Job description

Toloka AI is seeking a data-focused ML/analytics professional to help detect and stop fraud on our platform. You will dig into data, identify patterns, and transform insights into production defenses using rules, models, and LLM-based approaches.

Work at the intersection of analytics and applied ML, building robust data pipelines and dashboards while thinking like an attacker to preempt defensive gaps. Remote-first with teams distributed globally.