Machine Learning Scientist for Fraud Detection - Spain

Further Details

Moniepoint Inc. is searching for a talented Data Scientist to join their fraud-focused team operating in Spain. The primary responsibility will be to design, build, and deploy machine learning models that detect and prevent fraudulent transactions, thereby protecting a vast user base. This role offers a challenging yet rewarding environment for professionals passionate about leveraging data science for security. The position demands strong analytical acumen and proficiency in Python and SQL. You will be instrumental in running experiments, analyzing results, and collaborating with cross-functional teams to ensure the successful integration of fraud mitigation measures into the production system. This is a prime opportunity for a Data Scientist to contribute significantly to a leading financial technology company.

Data Scientist - Fraud Detection in Spain

Moniepoint Inc. is actively seeking a skilled Machine Learning Scientist to bolster their fraud detection initiatives within Spain. This pivotal role involves developing and deploying advanced ML models to identify and mitigate fraudulent activities, safeguarding millions of users across their diverse platform. You will engage in the entire model lifecycle, from prototyping and experimentation to rigorous evaluation and continuous monitoring. Ideal candidates will possess a robust statistical foundation and exceptional Python and SQL capabilities, crucial for translating complex data into actionable fraud prevention strategies. Collaboration is key, as you will work closely with engineers, product managers, and analysts to implement production-grade solutions and protect the integrity of the platform. This presents a significant opportunity to make a tangible impact in a dynamic, data-driven environment.

• Job Title: Machine Learning Scientist - Fraud Detection
• Company: Moniepoint Inc.
• Location: Navarra, Spain
• Key Skills: Python, SQL, Machine Learning, Statistical Analysis
• Responsibilities: Model development, deployment, experimentation, and monitoring

Skills

• Strong statistical background
• Proficiency in Python
• Proficiency in SQL
• Experience with machine learning model development
• Experience with experimentation and evaluation
• Experience with model monitoring
• Collaboration skills
• 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 users
• Prototype and evaluate fraud mitigation strategies
• Monitor deployed models for performance and drift
• Collaborate with engineers, product managers, and analysts
• Translate findings into production-grade fraud mitigations

How to apply

Interested candidates are invited to submit their applications for the Machine Learning Scientist position with Moniepoint Inc. in Spain. Follow these steps to ensure your application is processed correctly:

• Visit the Application Portal: Navigate to the official Eurojobs platform to access the application form.
• Locate the Job Listing: Find the "Basic Fraud Detection ML Scientist — Production & Impact" advertisement for Navarra, Spain.
• Complete the Application Form: Fill in all required personal and professional details accurately.
• Upload Required Documents: Prepare and attach your updated Curriculum Vitae (CV) and any relevant supporting certifications or portfolio examples.
• Review and Submit: Before submitting, carefully review all entered information for accuracy and completeness.
• Application Deadline: Ensure your application is submitted by the closing date of 18 December 2026.
• Contact Information: For any queries regarding the application process, you may reach out via the provided contact details.

Important Note: This position requires candidates who are eligible for an EU work permit.