Data Scientist - FinTech

- Fluency in SQL or other programming languages. Development experience in R, Python

- Advanced understanding of statistical analysis

- Credit risk modelling for underwriting and portfolio monitoring using traditional and alternate data sources.

- Ability to apply analytics in all aspects of the business - risk, marketing, process etc

- Preferred experience in banking, payments, B2B Lending space

- Experience with large data sets and distributed computing (Hive/Hadoop) a plus

- Experience with building insights using varied/alternate data sources

- Actively collaborate with technology team, product management, operations teams and other stake holders.

- Move seamlessly between business problems and coding.

- Present complicated analytical solutions to a non-technical audience

- Work with very large data sets residing in different data stores in disparate format

- Readiness to work in a highly results-oriented and fast changing landscape in a fintech startup