M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go �PayGo� solar energy for off-grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
About the job
- We are looking for an Eligibility Product Analyst to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers.
- Working on a team, you will determine M-KOPA’s loan eligibility criteria and develop our loan offers and pricing, to ensure that we are offering loans that customers want and can afford while also achieving our business growth objectives.
- This role offers the opportunity to drive significant customer and business impact. You will be a member of a small team with the big responsibility of continuously improving M-KOPA’s loan offers and eligibility criteria, in order to drive growth while managing credit losses and margins. You'll work cross-functionally with engineers, data scientists, other analysts, growth managers, and commercial stakeholders across multiple countries.
For Remote roles:
- This is a fully remote role, you would be working within the following time zone (UTC -1 / UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa.
Expertise
In this role, you would be responsible for:
- Analysing M-KOPA’s repayments data and other data to continuously improve our loan eligibility criteria
- Developing new loan offers and pricing based on customer demand and credit analysis
- Monitoring the credit performance of your loans to identify where we need to adjust eligibility criteria and/or pricing
- Testing the predictiveness of new data sets for the purposes of eligibility criteria
- Testing new types of loans to understand customer demand and credit performance
- Working with engineers to implement changes to our eligibility criteria
- Working with data scientists to leverage machine learning models as part of loan eligibility decisions
Your application should demonstrate:
- Several years in roles with significant analysis components
- Strong analytical skills, including the ability to conduct your own analysis of unstructured data
- Ability to write your own SQL queries and source your own data sets
- Proven ability in solving ambiguous / high-level analytical problems
- Strong data communication skills — written, oral, and visual
- Ability to work with diverse, distributed teams across multiple countries
- Strong interpersonal and collaboration skills
- (Nice to have) Experience with data science models
Method of Application
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