What You'll Do:
- Analyse repayments data to improve credit scorecards and manage credit risk.
- Refine loan pricing based on credit analysis and customer behaviour.
- Monitor credit performance to detect risk shifts and quantify margin impact.
Your Technical Environment:
- Utilize Python, SQL, and other analytical tools.
- Work with repayments data, customer behaviour data, and third-party data sets.
- Apply risk modelling and statistical analysis across large, complex data sets.
Our Team Approach:
- Low-ego, high-impact environment fostering collaboration and diversity.
- Data-driven decision-making empowering prioritization and analysis ownership.
- Embrace ambiguous problems, welcome new challenges, and adapt to a fast-expanding environment.
M-KOPA
M-KOPA provides financing for everyday essentials accessible to everyone. They have served over 7 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa and are recognized as one of Africa's fastest growing companies.