Data Scientist - Fraud Detection ML for Global Fintech Leader

Further Details

Embark on a career as a Data Scientist with Moniepoint Inc., a prominent fintech organization based in Spain. This role focuses on developing and deploying cutting-edge Machine Learning models for fraud detection, ensuring the security of a vast user base. You will actively participate in experimental design, model evaluation, and the continuous monitoring of ML performance. Collaboration with engineering, product, and analytics departments is key to translating findings into effective fraud mitigation measures. This position demands a strong statistical acumen coupled with excellent Python and SQL programming capabilities. The opportunity lies within a private sector company that prioritizes data-driven solutions and offers significant potential for professional growth. By joining this team, you will play a crucial part in protecting millions of users and contributing to the overall stability and trustworthiness of the Moniepoint platform.

Data Scientist - Production & Impact in Spain

Moniepoint Inc. is seeking a skilled Data Scientist to join their dedicated fraud detection unit in Andalucía, Spain. This role is critical for developing and implementing advanced Machine Learning solutions to combat fraudulent activities and safeguard millions of users. The position offers an exciting career path within the fintech industry, focusing on real-world impact and continuous innovation. Key aspects of this role include prototyping, rigorously testing, and closely monitoring the performance of ML models, ensuring they remain effective against evolving threats. You will work collaboratively with engineering, product management, and analytics specialists to transform data insights into robust, production-grade fraud prevention mechanisms. Essential qualifications include a strong statistical understanding and demonstrable expertise in Python and SQL.

• Job Title: Data Scientist — Fraud Detection ML
• Location: Andalucía, Spain
• Company: Moniepoint Inc.
• Key Responsibilities: ML model development, deployment, experimentation, and monitoring for fraud detection.
• Required Skills: Python, SQL, Statistical Analysis, Model Evaluation, Cross-functional Collaboration.
• Deadline: 18 December 2026

Skills

• Building and deploying Machine Learning models
• Running experiments for fraud detection
• Surfacing fraud signals to protect users
• Prototyping and evaluating ML models
• Monitoring model performance
• Collaborating with engineers, product managers, and analysts
• Translating findings into production-grade fraud mitigations
• Strong statistical background
• Proficiency in Python
• Proficiency in SQL

Duties and Responsibilities:

• Develop and deploy advanced Machine Learning models for fraud detection
• Conduct experiments to identify and analyze fraudulent patterns
• Surface critical fraud signals to enhance platform security
• Prototype, evaluate, and continuously monitor the performance of ML models
• Collaborate effectively with engineering, product management, and analytics teams
• Translate complex data findings into actionable, production-ready fraud mitigation strategies
• Ensure the integrity and security of millions of user accounts across the platform

How to apply

• Step 1: Review Opportunity Carefully read the job description for the Data Scientist - Fraud Detection ML position at Moniepoint Inc. based in Andalucía, Spain.
• Step 2: Prepare Application Materials Ensure you have an up-to-date CV highlighting your experience in Machine Learning, statistical analysis, Python, and SQL.
• Step 3: Navigate to Application Portal Visit the Eurojobs website and locate the specific job listing.
• Step 4: Initiate Application Click on the 'Apply Now' button to begin the application process.
• Step 5: Complete Application Form Fill out all required fields accurately and submit your application before the closing date.
• Step 6: Await Confirmation You may receive a confirmation email upon successful submission of your application.
• Deadline for Applications: 18 December 2026
• Contact for Inquiries: Please refer to the contact details provided on the Eurojobs listing or company profile for any urgent questions.