Fraud Detection Data Scientist - AI & Machine Learning for Financial Security in Spain

Further Details

Join Moniepoint Inc. in Spain as a Fraud Detection Data Scientist, focusing on building and deploying cutting-edge ML models to protect users. This role emphasizes collaboration, experimentation, and impact within a private sector fintech organization dedicated to financial security. Successful candidates will benefit from these Latest Fintech careers. You will be at the forefront of developing sophisticated fraud mitigation techniques. Ideal candidates possess a strong statistical foundation and advanced proficiency in Python and SQL. Your work will directly contribute to the platform's integrity by identifying and neutralizing fraudulent activities. This opportunity is perfect for professionals eager to apply their data science skills in a challenging and rewarding production environment.

Data Scientist - Fraud Detection & Impact in Spain

Moniepoint Inc. is offering a prime career opportunity for a skilled Data Scientist to join their esteemed fraud detection division in Spain. This role is integral to protecting millions of users by developing and implementing sophisticated machine learning models. You will be involved in every stage of the model lifecycle, from initial prototyping and experimentation to production deployment and continuous monitoring.

This position within a leading private sector organization requires a robust understanding of statistical principles coupled with hands-on expertise in Python and SQL. Successful candidates will collaborate closely with cross-functional teams to translate complex data insights into effective fraud prevention mechanisms, significantly contributing to the platform's security and user trust.

• Job Title: Fraud Detection ML Scientist — Production & Impact
• Company: Moniepoint Inc.
• Location: Andalucía, Spain
• Key Responsibilities: Develop ML models, run experiments, identify fraud signals, collaborate with teams.
• Required Skills: Strong statistical background, Python, SQL, ML model deployment.
• Application Deadline: 18 December, 2026

Skills

• Strong statistical background
• Advanced Python skills
• Proficiency in SQL
• Experience in building and deploying ML models
• Ability to run experiments
• Experience in evaluating and monitoring models
• Excellent collaboration skills

Duties and Responsibilities:

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

How to apply

• To apply for this Fraud Detection Data Scientist position, please visit the official application portal.
• Locate the job advertisement using the reference number: 6427003012861919232324635.
• Complete the online application form with your accurate personal and professional details.
• Ensure your CV and any supporting documents are uploaded as required.
• The deadline for applications is 18 December, 2026.
• For further assistance or inquiries, you may contact the provided WhatsApp number at 03012861919.

Successful candidates will benefit from these public sector jobs.