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Role Overview:

  • Prototype and deploy ML models for fraud detection.
  • Design experiments to measure fraud intervention impact.
  • Collaborate cross-functionally with engineering and product teams.

Qualifications:

  • 5+ years in data science with fraud, payments, or risk analytics.
  • Strong foundation in statistics, ML, and experimental design.
  • Proficiency in Python and SQL across the model lifecycle.

Compensation & Culture:

  • Attractive salary, pension, health insurance, and monthly bonuses.
  • People-first culture with emphasis on learning and inclusion.
  • Equal opportunity employer committed to diversity.

Moniepoint

Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.

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