Advanced Data Scientist - Fraud Detection ML in Spain

Further Details

This position within Moniepoint Inc. focuses on building and deploying sophisticated machine learning models for fraud detection. The role requires a Data Scientist with a keen understanding of statistical principles and proven expertise in Python and SQL to analyze data, run experiments, and develop effective fraud mitigation strategies. As part of the fraud-focused team in Spain, you will contribute to protecting a vast user base by translating complex findings into deployable solutions. Your work will directly impact the security and integrity of the platform, making this a critical role for the company's ongoing success and user trust.

Data Scientist - Fraud Detection ML - Spain

Moniepoint Inc. is presenting an exceptional career prospect for a dedicated Data Scientist to join their pioneering fraud prevention division situated in Spain. This role is designed for professionals eager to leverage advanced machine learning techniques to safeguard financial platforms and millions of users against fraudulent activities. This is a prime opportunity to contribute to cutting-edge fraud detection strategies in a dynamic environment.

The core responsibilities include the end-to-end development lifecycle of ML models, from initial prototyping and rigorous experimentation to deployment and ongoing performance monitoring. You will work closely with a multidisciplinary team, transforming intricate data insights into actionable fraud mitigation systems. Essential qualifications include a robust understanding of statistical principles and advanced programming skills in Python, coupled with strong SQL proficiency.

• Job Title: Data Scientist - Fraud Detection ML
• Location: Galicia, Spain
• Company: Moniepoint Inc.
• Key Skills: Machine Learning, Python, SQL, Statistical Analysis
• Opportunity: Protect millions of users through advanced fraud detection

Skills

• Proficiency in Python
• Strong SQL skills
• Solid statistical background
• Experience with machine learning model development
• Ability to prototype, evaluate, and monitor models
• Collaboration with engineering and product teams

Duties and Responsibilities:

• Build and deploy machine learning models for fraud detection
• Run experiments to evaluate model performance
• Surface fraud signals to protect users
• Translate research findings into production-grade fraud mitigations
• Collaborate with engineers, product managers, and analysts
• Monitor deployed models for effectiveness and drift

How to apply

• 💼 Visit the Eurojobs website to access the application portal.
• 👉 Navigate to the 'Basic Fraud Detection ML Scientist — Production & Impact' listing.
• 🔗 Click on the 'Apply Now' button to initiate the application process.
• 📝 Submit your comprehensive CV and any other requested documentation through the provided link.
• 📅 Ensure your application is submitted before the closing date of 18.12.2026.