Moniepoint Inc. is a leading financial technology company that provides a seamless platform for businesses to accept digital payments, access credit and access simple business management tools that enable them to grow with ease. We are the parent company of TeamApt Ltd and Moniepoint MFB and we support over 600,000 businesses to process $12 billion monthly through our digital payment acceptance channels.
Engineering at Moniepoint is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc.We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.
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
Method of Application
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