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🔍 Financial
- 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
- Experience with data science models
- 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
SQLData AnalysisMachine LearningProduct AnalyticsAlgorithmsData scienceData StructuresCommunication SkillsAnalytical SkillsProblem SolvingRESTful APIsCross-functional collaborationData visualizationFinancial analysisData modelingData analytics
Posted 2 days ago
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