At M-KOPA, you'll own the analytical work that drives our lending strategy. Our Credit Eligibility team operates with a high degree of autonomy — you'll work cross-functionally with engineers, data scientists, growth managers, and commercial stakeholders across multiple countries, bringing analytical rigour to decisions that shape both credit performance and customer outcomes.
Responsibilities
Analyse M-KOPA's repayments data and other data sources to continuously improve credit scorecards and eligibility criteria while managing credit risk.
Refine loan pricing based on credit analysis and customer behaviour.
Test new loan types to understand customer demand and credit performance.
Monitor credit performance to detect risk shifts and quantify margin impact.
Test the predictiveness of new data sets for eligibility criteria purposes.
Use Python, SQL, and other tools to drive data insights.
Work with data scientists to leverage machine learning models as part of loan eligibility decisions.
Technical Environment
Languages & Tools: Python, SQL, and other analytical tooling.
Data: Repayments data, customer behaviour data, third-party data sets.
Modelling: Risk modelling and statistical analysis across large, complex data sets.
Collaboration: Cross-functional work with engineers, data scientists, analysts, growth managers, and commercial stakeholders.
Context: Credit, underwriting, and lending analytics in emerging markets.
Our Team Approach
Low-ego, high-impact: We foster a collaborative environment where diversity, innovation, and rigour drive both commercial growth and social impact.
Data-driven decision-making: You'll be empowered to make the case for prioritisation and own the analysis that shapes lending strategy.
Ownership: You'll have a high degree of ownership over your domain - and the responsibility that comes with it.
Ambiguous problems welcome: We look for people who thrive when the problem isn't fully defined yet.
Newly established, fast-expanding: You'll be joining at a formative moment for our credit and underwriting capabilities.
Requirements
Strong statistical modelling and quantitative analysis skills, including the ability to conduct your own analysis of unstructured data.
Experience in credit, underwriting, or lending analytics.
Fluency in Python, SQL, and other relevant analytical tools.
Experience translating complex data insights into actionable business strategies.
Ability to work cross-functionally with product, engineering, and commercial teams.
Strong data communication skills - written, oral, and visual.
Strong interpersonal and collaboration skills.
BA/BSc/HND degree qualification in a relevant field.
Interested and qualified candidates should apply online through the M-KOPA recruitment portal on AshbyHQ. Access the application link here: M-KOPA Solar on jobs.ashbyhq.com
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