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Lendable is a financial technology startup that connects local debt generators and borrowers to foreign investors. They are a team of finance experts, data scientists, and technologists who make receivable financing easier in developing markets.
Job description
They are looking for an experienced data scientist to join their team in Nairobi. You will be working closely with the head of data science, apprentice data scientists, and credit team to help their alternative lender clients get access to debt capital. Day to day, you will be coordinating and performing predictive and descriptive analysis of loan portfolios to inform Lendable’s credit team and advise investment committee decisions.
This position is a fantastic next career step for a technician with strong social skills, interested in frontier markets finance, who wants to start moving into management.
Responsibilities:
Skills:
Above all, Lendable are looking for intelligence and critical thinking skills. The right candidate might have an academic background in an analytical area such as philosophy, economics, statistics, classics, linguistics, political science, mathematics or physics.
They use a blended R/Stan/Python/Postgres back-end for their analysis. Most of the Data Scientist’s work will be in R, with familiarity (preferably expertise) in Stan a big advantage. You should be comfortable with git, unit testing, and peer review.
Personal attributes:
Lendable strives to build a collaborative, challenging, and creative culture at Lendable through their company values:
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