Details:

Data Structures

Machine Learning

Python

R

Spark

SQL

MySQL

SAS

Distributed computing

 

Min. Qualification:

Min 2+ years experience doing quantitative analysis.

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

Skills Required:

R, Python, Machine Learning

Responsibility:

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