Fraud Detection Data Scientist - Production & Impact in Spain

Further Details

Join Moniepoint Inc.'s fraud-focused team in Spain as a Data Scientist. This role involves building and deploying machine learning models to detect and prevent fraud, protecting millions of users. You will experiment, evaluate, and monitor models, working with cross-functional teams to implement effective fraud mitigation solutions. This is a critical position requiring strong statistical knowledge and expertise in Python and SQL. The successful candidate will contribute significantly to the platform's security and user protection efforts within the vibrant Comunidad Valenciana region.

Data Scientist - Fraud Detection & Impact

Moniepoint Inc. is seeking a talented Data Scientist to bolster its fraud detection capabilities in Spain. This role is crucial for developing and implementing machine learning models that protect millions of users from fraudulent activities. You will be at the forefront of innovation, experimenting with new techniques and ensuring the robust performance of deployed systems.

This is an exciting opportunity to contribute to a dynamic team, working collaboratively to translate complex data insights into actionable fraud mitigation strategies. A solid grasp of statistical principles and advanced skills in Python and SQL are fundamental requirements for this position.

• Job Title: Data Scientist - Fraud Detection
• Location: Comunidad Valenciana, Spain
• Key Responsibilities: Model development, experimentation, fraud signal analysis, cross-functional collaboration.
• Required Skills: Statistical expertise, Python, SQL.
• Company: Moniepoint Inc.

Skills

• Strong statistical background
• Proficiency in Python
• Proficiency in SQL
• Experience with machine learning model development
• Ability to prototype and evaluate models
• Experience in monitoring deployed models

Duties and Responsibilities:

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

How to apply

• Prepare Your Application: Ensure your CV and any relevant supporting documents are up-to-date.
• Visit the Application Portal: Navigate to the official application link provided.
• Submit Your Application: Complete the online application form accurately.
• Contact for Inquiries: For any questions, reach out via WhatsApp at 03012861919 or email.
• Application Deadline: Ensure your application is submitted before the closing date of 18 December 2026.