Senior Analyst – Credit Risk & Eligibility Job M-KOPA Solar
IT Jobs, M-KOPA Solar Jobs.
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
Your 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
What You Need
- We’re looking for someone with experience in roles with significant analytical components who is ready to take real ownership of credit and eligibility decisions at scale.
Required experience:
- 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
How to Apply
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