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You hear people say “follow your dreams” all the time but how many people do you know that actually do so? Sometimes you get caught in a job that you do not want to do because of certain reasons. You might even end up choosing a career that you never wanted to pursue. If you wish to l.....
Profile Description -- Fluency with R, python and commonly used machine learning frameworks- Fluency with excel- Build key data sets to empower insightsRequirements :- 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 startupTechnical Skills :- Data Structures- Machine Learning- Python- R- Spark- SQL- MySQL- SAS- Distributed computing
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