Data Scientist - Fraud Detection & ML Expert in Spain

Further Details

Seeking a skilled Data Scientist for Moniepoint Inc. in Spain, focusing on fraud detection and ML model deployment. This role demands expertise in building and optimizing machine learning algorithms to protect millions of users by identifying fraudulent patterns. You will work closely with engineering and product teams to implement effective safeguards. Key responsibilities include experimental design, model evaluation, and real-time monitoring of fraud signals. The ideal candidate possesses a solid statistical background and advanced proficiency in Python and SQL. This is a prime opportunity to contribute to a leading financial technology company's security infrastructure.

Data Scientist - Production & Impact

Moniepoint Inc. is actively seeking a skilled Data Scientist to join their dynamic team in Spain, focusing on cutting-edge fraud detection and ML model implementation. This role is pivotal in safeguarding millions of users by developing and deploying sophisticated algorithms that identify and combat fraudulent activities.

The successful candidate will be instrumental in the entire lifecycle of ML models, from prototyping and rigorous experimentation to continuous monitoring and deployment. You will collaborate closely with engineering, product management, and analytical teams to translate complex data insights into robust, real-world fraud mitigation solutions. This is an exceptional opportunity for a data professional to make a significant impact within a rapidly growing fintech company.

• Job Title: Data Scientist - Fraud Detection
• Company: Moniepoint Inc.
• Location: Balearic Islands, Spain
• Key Responsibilities: ML model development, deployment, experimentation, and monitoring.
• Essential Skills: Strong statistical background, Python, SQL.
• Career Growth: Contribute to critical security infrastructure and professional development.

Skills

• Proficiency in Python
• Strong SQL skills
• Expertise in Machine Learning model development
• Statistical analysis capabilities
• Ability to prototype and evaluate models
• Experience with fraud detection methodologies
• Collaboration with cross-functional teams
• Excellent analytical skills

Duties and Responsibilities:

• Build and deploy machine learning models for fraud detection
• Run experiments to evaluate model performance
• Surface fraud signals to protect platform users
• Prototype, evaluate, and monitor predictive models
• Collaborate with engineers, product managers, and analysts
• Translate findings into production-grade fraud mitigations
• Ensure platform security and user protection

How to apply

💼 Prepare your comprehensive Curriculum Vitae (CV).

🎓 Ensure you possess a strong statistical background and advanced proficiency in Python and SQL.

🔎 Review the job description carefully to align your qualifications with the role's requirements.

🎯 Navigate to the application link provided.

👉 Click on the 'Apply Now' button to initiate your application.

⏳ Submit your application before the closing date of 18.12.2026.

🌐 Visit the Eurojobs platform for further details or to confirm submission status.