Data Scientist

Il y a 2 heures

Brussels, Brussels, Belgique OPTIMUS IT SERVICES Temps plein

Gratuit avec email ou Google

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Gratuit avec email ou Google

Senior Data Scientist – Fraud Detection

Key Responsibilities

Design, develop and continuously improve fraud detection models using machine learning, anomaly detection, graph analytics and behavioral analytics.
Collect, curate, structure and enrich large-scale transactional and customer datasets to improve fraud detection capabilities.
Perform advanced feature engineering, data analysis and pattern discovery to identify fraudulent behaviours and emerging fraud trends.
Investigate complex fraud schemes and identify new attack vectors to develop proactive detection strategies.
Work closely with Fraud Operations, Risk, Compliance and Product teams to translate business needs into scalable data science solutions.
Develop and deploy AI/ML solutions into production using robust software engineering and data science practices.
Continuously improve fraud models based on new data, business requirements and evolving fraud patterns.
Contribute to the development of innovative AI solutions within a multidisciplinary and international environment.

Experience Required

Minimum 5 years of experience in Data Science, with strong hands-on experience in Fraud Detection; 7+ years is preferred.
Proven experience developing AI/ML applications for fraud detection or financial crime prevention.
Strong hands-on experience with Python, SQL and Pandas.
Experience with Spark/Hadoop or other distributed data processing technologies and large-scale datasets.
Strong knowledge of supervised and unsupervised machine learning, anomaly detection, graph analytics and network analysis.
Experience with data preparation, enrichment, feature engineering and validation for machine learning models.
Experience deploying AI/ML solutions into production; Java experience is an advantage.
Financial sector/banking experience, particularly fraud detection, is strongly preferred.
Master's degree in Statistics, Computer Science, Engineering or another quantitative discipline.
Fluent English and strong analytical, communication, problem-solving and stakeholder management skills.