Product Analyst Eligibility at M-KOPA

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