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.

📌 Data scientist (España)
🏢 OPTIMUS IT SERVICES
📍 España