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Fraud Detection ML Scientist - Production & Impact in Spain

Moniepoint Inc.

is actively seeking a skilled Data Scientist to bolster its fraud detection team in Spain.

This role involves the development and deployment of sophisticated machine learning models designed to safeguard millions of users across its platform by identifying and mitigating fraudulent activities.

Candidates will engage in prototyping, evaluating, and continuously monitoring ML models.

A key aspect of this position is collaborating with cross-functional teams, including engineers, product managers, and analysts, to translate analytical findings into robust, production-ready fraud mitigation strategies.

This is a prime opportunity for professionals with a strong statistical foundation and expertise in Python and SQL to make a significant impact in protecting users within a dynamic fintech environment.

Successful candidates will benefit from these Data Scientist jobs Canarias.

The position requires candidates to be based in the Canary Islands, Spain.

Private
full-time
Spain

Jobs Date Posted: 03 November, 2026
Jobs Last Date to Apply: 18 December, 2026
Industry: Financial Technology
Jobs Industry Type: Private
Job Hiring Organization: Moniepoint Inc.
Occupational Category: Data Science
Employment Type: full-time
Advertisement Source: Eurojobs
Job Location: Canarias
Country of Appointment: Spain
Employer Department: Fraud Detection Team
Employer Contact Phone: 03012861919
Employer Address: Spain
🎓 Qualifications Required
📌 Job Positions:

Further Details

This role focuses on developing and implementing machine learning solutions for fraud detection within Moniepoint Inc.'s operations in Spain. The Data Scientist will be instrumental in building, testing, and deploying predictive models that protect the platform's user base from financial fraud. Collaboration is essential as you will work alongside engineering, product, and analytics teams to bring insights from data to life in the form of actionable fraud prevention measures. A solid grasp of statistical concepts and proficiency in Python and SQL are fundamental requirements for success. This is a crucial position for a data-driven professional aiming to contribute to the security and integrity of a leading financial technology service, specifically based in the Canary Islands, Spain. The employer is JR Spain Client / Employer Moniepoint Inc.

Data Scientist Opportunities in Spain with Moniepoint Inc.

Moniepoint Inc., represented by JR Spain, is opening exciting career avenues for a Data Scientist specializing in Fraud Detection within Spain, specifically in the Canary Islands. This role is pivotal in reinforcing the company's commitment to user security by developing and implementing advanced machine learning solutions.

Prospective candidates are expected to possess a robust understanding of statistical principles coupled with hands-on experience in Python and SQL. Explore these job openings with competitive benefits. The primary focus will be on creating, testing, and deploying predictive models to identify and neutralize fraudulent activities, thereby safeguarding the platform's integrity and user trust.

  • Job Title: Fraud Detection ML Scientist — Production & Impact
  • Company: Moniepoint Inc. (via JR Spain)
  • Location: Canarias, Spain
  • Key Responsibilities: Model development, deployment, experimentation, and monitoring.
  • Required Skills: Strong statistics, Python, SQL.
  • Closing Date: 18 December 2026

Skills

  • Strong statistical background
  • Proficiency in Python
  • Proficiency in SQL
  • Experience in building and deploying ML models
  • Ability to run experiments and evaluate models
  • Experience in monitoring model performance
  • Excellent collaboration skills
  • Strong analytical and problem-solving abilities

Duties and Responsibilities:

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

How to apply

  • Prepare Your Application: Ensure your Curriculum Vitae (CV) is up-to-date and clearly highlights your statistical expertise, proficiency in Python and SQL, and any relevant experience in machine learning model development for fraud detection.
  • Visit the Application Portal: Navigate to the official Eurojobs website and locate the specific job listing for the Fraud Detection ML Scientist position.
  • Submit Your Application: Follow the on-screen instructions to submit your application through the 'Apply Now' link provided on the Eurojobs platform.
  • Review Key Details: Note that this position is based in Canarias, Spain, and applications are due by December 18, 2026.
  • Contact for Inquiries: For any immediate questions, you may reach out via WhatsApp at 03012861919 or call 03012861919.




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