About the Role
If you are passionate about transforming data into actionable insights and helping organizations prevent fraud, this is the place for you! We are expanding our Data & Analytics teams to support strategic projects in the financial sector, developing innovative solutions that strengthen cybersecurity and fraud prevention capabilities.
Responsibilities
•Develop data engineering solutions focused on fraud prevention and risk detection within the financial sector, contributing to the evolution of a well-established Data & Analytics and Cybersecurity service.
•Design, develop and maintain batch and real-time streaming data processes.
•Integrate data from SIEM platforms.
•Build data models.
•Participate in migration and deployment activities.
•Contribute to the continuous improvement of analytics solutions.
Requirements
•A background and interest in data engineering, data analytics, cybersecurity and fraud prevention.
•SQL and database technologies.
•Google Cloud Platform (GCP).
•Batch and streaming data processing.
•Airflow, TWS and ODI.
•XSOAR and XSIAM.
•Cybersecurity and fraud prevention environments.
•English level B2.
Nice to Have
•Financial services sector experience.
•Data governance and data quality practices.
•Data Science and Machine Learning.
•Cloud certifications.
•Cybersecurity certifications such as CISSP.
•Fraud prevention certifications such as ACFE.
•Agile methodologies.
Conditions
•Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.
•Flexible start and finish times, and intensive working hours on Fridays and in summer.
•Personalized career plan development, training and language learning support.
•National and international mobility.
•Relocation package available if you come from another country.
•Competitive compensation with ongoing reviews, flexible compensation and discount on brands.
•Wellbeing program: health, dental and accident insurance; free fruit and coffee; physical, mental and financial health training, and much more.
