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Your Mission:
- Identify and formalize scenarios for the transactional antifraud system, especially in AML domain.
- Conduct research on cutting-edge ML models for fraud and anomaly detection.
- Develop production-ready source code in Python and integrate models into the platform.
Why Choose Group-IB:
- Work with real stakes by disrupting digital crime alongside law enforcement agencies globally.
- Grow your way through career paths, relocations, and funded professional certifications like CEH or CISSP.
- Collaborate with industry leaders on a Unified Risk Platform recognized by Gartner, Forrester, and Frost & Sullivan.
Tech Stack:
- Python 3.8+ with libraries like pandas, scikit-learn, PyTorch for data analysis and modeling.
- Graph frameworks such as NetworkX, PyG, Neo4j, or AWS Neptune.
- Git, Docker, and AWS ecosystem for development and deployment.
Group-IB
Group-IB is a leading cybersecurity technology creator dedicated to investigating, preventing, and fighting digital crime. With over 1,550 cybercrime investigations and 600+ enterprise customers globally, the company operates Digital Crime Resistance Centers across multiple regions, fostering a culture of mission-driven innovation and global collaboration.