Senior Analyst - Credit Risk & Eligibility
New
Within UTC -1 to UTC +3 time zones, UTC -1 to UTC +3Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQL
Requirements
- Experience in roles with significant analytical components
- Strong statistical modelling and quantitative analysis skills
- Ability to conduct your own analysis of unstructured data
- Experience in credit, underwriting, or lending analytics
- Fluency in Python
- Fluency in SQL
- Experience with 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
Responsibilities
- Own the analytical work that drives our lending strategy
- Work cross-functionally with engineers, data scientists, growth managers, and commercial stakeholders across multiple countries
- Bring analytical rigour to decisions that shape both credit performance and customer outcomes
- 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
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