Senior Data Scientist

Moniepoint Group

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 3mo ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 3 months ago · apply link checked 4 hours ago

About the role

About the Company

Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions.

Responsibilities

  • Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
  • Design and run experiments to optimise approval rates, loss rates, and profitability
  • Partner with product squads to embed decision logic into real-time systems
  • Ensure data quality, compliance, and ethical use of models across all decisioning processes
  • Mentor product squads on best practices in experimentation and data-driven decision making
  • Provide models to optimise outcomes in collections, churn management and user retention

Requirements

  • Degree or qualifications in a quantitative field such as Statistics, Mathematics, or Engineering
  • 5+ years of experience in data science, decision science, or risk analytics within financial services
  • Working knowledge of credit risk, consumer lending, and regulatory considerations
  • Proficiency in SQL and at least one modelling/programming language (Python, R)
  • Experience with A/B testing, machine learning, collections modelling and churn management
  • Ability to translate complex analyses into clear recommendations for business stakeholders

Benefits

  • Attractive salary, pension, and health insurance
  • Monthly bonuses
  • Learning and development-focused environment with regular internal technical talks

What we look for

  • Degree in quantitative field
  • 5+ years experience in data science or risk analytics
  • Proficiency in SQL and Python or R
  • Experience with A/B testing and machine learning
PythonSQLMachine Learning
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