Fraud Analytics Scientist — AI & ML for Cyber Defense

Group-IB; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Professional certification funding

Career growth opportunities

International work environment

Job summary

Group-IB in Amsterdam is looking for a skilled developer specializing in engineering and developing analytical services to enhance fraud detection capabilities. Your role will include leveraging production-grade Python skills to analyze network data and develop sophisticated fraud detection logic.

You will be expected to build and maintain robust ETL pipelines while integrating machine learning models to strengthen the company’s fraud protection ecosystem.

Qualifications

• Experience building and maintaining ETL pipelines.
• Strong foundation in tabular data analysis.
• Prior experience within the cybersecurity or anti-fraud sectors is a plus.

Responsibilities

• Execute data collection and analysis from disparate sources to establish ETL pipelines.
• Perform advanced research into methodologies for fraud mitigation.
• Develop and integrate machine learning models into the Fraud Protection ecosystem.

Skills

Data analysis

Asynchronous Python (3.10+)

Pandas

Scikit-learn

Git

Docker

ETL pipelines

Research-oriented mindset

Tools

Elasticsearch

Cassandra

ClickHouse

Job description

Group-IB in Amsterdam is looking for a skilled developer specializing in engineering and developing analytical services to enhance fraud detection capabilities. Your role will include leveraging production-grade Python skills to analyze network data and develop sophisticated fraud detection logic.

You will be expected to build and maintain robust ETL pipelines while integrating machine learning models to strengthen the company’s fraud protection ecosystem.