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Data Scientist Opportunity in Spain with Moniepoint Inc. - Fraud Detection Focus

Moniepoint Inc.

is actively seeking a skilled Data Scientist to join their specialized fraud detection team in Spain.

This role offers the chance to develop and deploy cutting-edge Machine Learning models, conduct rigorous experiments, and identify critical fraud signals.

You will play a vital part in safeguarding millions of users across the platform by contributing to robust fraud mitigation strategies.

This is an excellent opportunity for individuals passionate about data-driven security solutions within a dynamic fintech environment.

Government
full-time
Spain

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

Further Details

This prominent private sector technology firm, Moniepoint Inc., is extending an invitation for a talented Data Scientist to contribute to their Spanish operations. The primary focus will be on developing and implementing advanced Machine Learning models for fraud detection and prevention. Candidates will engage in prototyping, evaluating, and monitoring model performance, collaborating closely with cross-functional teams to translate data insights into effective fraud mitigation measures. Additionally, government jobs are available for qualified candidates. A strong foundation in statistics and proficiency in Python and SQL are fundamental requirements for this exciting role.

Data Scientist - Fraud Detection in Spain

Moniepoint Inc., a key player in the technology sector, is seeking to expand its team with a dedicated Data Scientist specializing in fraud detection. This role, based in Murcia, Spain, is crucial for developing innovative solutions to combat online fraud and protect millions of users. The position offers a stimulating environment for professionals eager to apply their analytical skills to real-world security challenges.

Ideal candidates will possess a robust understanding of statistical principles and be highly proficient in Python and SQL. The opportunity involves hands-on model development, experimentation, and direct collaboration with various departments to ensure effective implementation of fraud mitigation strategies. This is a prime opportunity for career advancement in a rapidly evolving industry.

  • Job Title: Data Scientist (Fraud Detection)
  • Location: Murcia, Spain
  • Company: Moniepoint Inc.
  • Key Skills: Python, SQL, Machine Learning, Statistics
  • Responsibilities: Model deployment, experimental analysis, fraud signal identification
  • Benefits: Opportunity to impact millions of users, professional growth in a private sector environment

Skills

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

Duties and Responsibilities:

  • Build and deploy Machine Learning models
  • Run experiments to evaluate model performance
  • Surface fraud signals to protect users
  • Prototype, evaluate, and monitor models
  • Collaborate with engineers, product managers, and analysts
  • Translate findings into production-grade fraud mitigations

How to apply

  • Visit the Eurojobs website and search for the 'Basic Fraud Detection ML Scientist' position in Murcia, Spain.
  • Click on the 'Apply Now' button to proceed with your application.
  • You may be prompted to create an account or log in if you are a returning user.
  • Complete the online application form with your personal and professional details.
  • Upload your updated Curriculum Vitae (CV) and any supporting documents as requested.
  • Ensure all information provided is accurate and complete before final submission.
  • The closing date for applications is 18 December 2026.
  • For any inquiries, you can reach out via the provided contact channels.




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