Senior Data Scientist - FinTech

Key Skills

- Fluency with R, python and commonly used machine learning frameworks

- Fluency with excel

- Build key data sets to empower insights

Requirements

- Min 2+ years experience doing quantitative analysis

- BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred.

- 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

Technical Skills

- Data

- Structures

- Machine Learning

- Python

- R

- Spark

- SQL

- MySQL

- SAS

- Distributed computation