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Senior Data Scientist (Fraud)

13 hours, 19 minutes ago
Spain
Full-time
Senior
Data Scientist
Data Science and Analytics
Machine Learning Python R SQL Statistics
Apply Now
Moniepoint

Moniepoint

Moniepoint offers a comprehensive payments, banking, and operations platform designed to support the growth of businesses and enhance financial accessibility for customers in emerging markets.

Diversified Financial Services
1K-5K
Founded 2015
View All Jobs 39

Description

  • Develop and deploy fraud detection, transaction monitoring, and behavioural risk models across payments, accounts, onboarding, and merchant activity.
  • Design and run experiments to improve fraud catch rates, reduce false positives, and lower customer friction.
  • Partner with product and engineering teams to embed models into real-time decisioning systems.
  • Build features from high-volume transactional, device, network, and behavioural data.
  • Continuously monitor model performance, drift, and emerging fraud patterns.
  • Ensure data quality, governance, and responsible model use in regulated environments.
  • Support investigations, strategy, and policy teams with advanced fraud analytics.
  • Mentor analysts and product teams on experimentation, detection strategy, and data-driven decision making.

Requirements

  • Degree in a quantitative field such as Statistics, Mathematics, Engineering, Computer Science, or a similar discipline.
  • 5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.
  • Hands-on experience with fraud detection, transaction monitoring, or behavioural risk modelling.
  • Proficiency in SQL and at least one modelling or programming language such as Python or R.
  • Experience with machine learning, anomaly detection, network or graph features, and real-time decision systems.
  • Strong intuition for fraud typologies, adversarial behaviour, and evolving attack patterns.
  • Ability to translate complex analysis into clear, actionable recommendations for technical and non-technical stakeholders.
  • High ownership and comfort working in fast-paced, cross-functional product environments.
  • Experience working in regulated environments is preferred.
  • A strong foundation in statistics is required.

Benefits

  • Attractive salary.
  • Pension contribution.
  • Health insurance.
  • Monthly bonuses.
  • Learning and development-focused environment.
  • Knowledge sharing, training, and regular internal technical talks.
  • People-first culture that values inclusion and well-being.

Interested in this position?

Apply directly on the company website

Apply Now

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