Fraud Detection ML Scientist - Production & Impact in Spain

Further Details

This role focuses on a Data Scientist position within Moniepoint Inc.'s dedicated fraud-focused team, based in Spain. The core responsibilities revolve around building, deploying, and monitoring machine learning models to detect and prevent fraudulent activities, thereby protecting millions of platform users. It's a hands-on position requiring strong statistical acumen and expertise in Python and SQL. The incumbent will be instrumental in prototyping, evaluating, and refining ML models, working collaboratively with cross-functional teams. The ultimate goal is to translate complex data findings into production-ready fraud mitigation systems. This is a crucial role for a private sector company operating in the tech industry, offering significant opportunities for professional development and impact.

Data Scientist - Fraud Detection & Impact

Moniepoint Inc. is seeking a talented Data Scientist to join its dedicated fraud prevention team in Spain. This role is critical for developing and deploying advanced machine learning models aimed at protecting millions of users from fraudulent activities across the platform. The position offers a dynamic environment for professionals passionate about data-driven security solutions. Key responsibilities include prototyping, evaluating, and monitoring machine learning models, ensuring their effectiveness in real-world scenarios. You will collaborate closely with engineering, product management, and analysis departments to translate complex data insights into robust, production-ready fraud mitigation systems. A strong statistical foundation and expert-level proficiency in Python and SQL are essential prerequisites for this exciting opportunity. This position represents excellent public sector jobs in the region.

• Job Title: Fraud Detection ML Scientist — Production & Impact
• Company: Moniepoint Inc.
• Location: Catalunya, Spain
• Key Skills: Machine Learning, Python, SQL, Statistical Analysis, Model Deployment
• Experience: Proven experience in Data Science and ML model development is highly desirable.
• Qualifications: Master's degree in a quantitative field or equivalent experience.
• Opportunity: Contribute to safeguarding millions of users in a leading FinTech company.

Skills

• Strong statistical background
• Proficiency in Python
• Proficiency in SQL
• Ability to build and deploy ML models
• Experience with model evaluation and monitoring

Duties and Responsibilities:

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

How to apply

This role requires candidates to apply through the official Eurojobs portal. Please ensure you have prepared all necessary documentation prior to starting your application.

• 💼 Visit the Eurojobs website and navigate to the job listing for the "Basic Fraud Detection ML Scientist — Production & Impact".
• 🔎 Review the full job description and ensure you meet the required qualifications and skills.
• 📝 Click on the "Apply Now" button provided on the job page.
• 👉 You will be redirected to the application form or portal to submit your details.
• CV, a cover letter detailing your relevant experience, and any supporting documents may be required.
• ⏳ The deadline for submitting applications is December 18, 2026. Late applications will not be considered.
• 📧 For inquiries, use the contact details provided on the Eurojobs listing or the company's official channels if available.
• 📌 Job Reference: 6427003012861919232324621