Who we are

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. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

About the role

We're in search of the next Dream 15 to join our team!

Get mentored for 6 months, work on real life-changing projects and get paid at one of Africa’s most prominent Fintechs.

Join the Moniepoint Women in Tech Internship Programme by applying below.

What you’ll get to do

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
  
  
  
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  
  
  
  
• Develop custom data models and algorithms to apply to data sets.
  
  
  
  
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  
  
  
  
• Develop company A/B testing framework and test model quality.
  
  
  
  
• Coordinate with different functional teams to implement models and monitor outcomes
  
  

To succeed in this role, we think you should have:

• At least 1 year pr​oven learning experience as a Data Engineering Intern.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• A drive to learn and master new technologies and techniques.

Some of the technologies you’ll get to work with:

• SQL, Python
• GCP
• Apache Airflow