Senior Fraud Data Scientist — AI, Graph Analytics

Data Wizards; Brussel Hoofdstad; Hybride; EUR 70 000 - 120 000; Plein temps

Avantages offerts par ce poste

Mobility budget or company car with an

30 days of paid time off

Top-tier laptop & smartphone with a订订

Stock options over time

Résumé du poste

Data Wizards is seeking a Senior Data Scientist for a fraud detection project. You will strengthen models, engineer features from complex data, and collaborate with cross-functional teams to translate business needs into scalable analytics.

You will work on cutting-edge ML methods, anomaly detection and graph analytics while operating in a consulting context where responsibilities may evolve with client needs.

Qualifications

• 5+ years of data science experience with fraud detection in finance.
• Master's degree in statistics, CS or engineering; PhD is a plus.
• Strong SQL, Python and experience with large-scale data processing.

Responsabilités

• Improve fraud models by feature engineering on large transactional and behavioral data.
• Design, build and refine models using ML, graph analytics and anomaly detection.
• Convert large data volumes into actionable fraud intelligence for stakeholders.
• Collaborate with Fraud Operations, Risk, Compliance and Product teams.
• Investigate complex fraud schemes and develop proactive detection strategies.
• Role may evolve due to consulting nature of the company.

Connaissances

Fraud detection

Data science

Machine learning

Anomaly detection

Graph analytics

Network analysis

Feature engineering

Production deployment

Generative AI

Formation

Master's degree in a quantitative field

PhD is a plus

Outils

SQL

Python

Spark

Hadoop

Java

Description du poste

Data Wizards is seeking a Senior Data Scientist for a fraud detection project. You will strengthen models, engineer features from complex data, and collaborate with cross-functional teams to translate business needs into scalable analytics.

You will work on cutting-edge ML methods, anomaly detection and graph analytics while operating in a consulting context where responsibilities may evolve with client needs.