Responsibilities
- Advanced understanding of statistical analysis, ability to apply analytics in all aspects of the business - risk, marketing, process, etc.
- Credit risk modeling for underwriting and portfolio monitoring using traditional and alternate data sources.
- Preferred experience in banking, payments, B2B Lending space.
- Experience with large data sets and distributed computing (Hive/Hadoop) is a plus
- Experience with building insights using varied/alternate data sources
- Actively collaborate with the technology team, product management, operations teams, and other stakeholders.
- 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 the disparate format
- Readiness to work in a highly results-oriented and fast-changing landscape in a fintech start-up.
Qualifications
- BA/BS in Computer Science, Math, Physics, Engineering, Statistics, or other technical fields. Advanced degrees preferred.
- 2-4 years of relevant experience in the Banking / NBFC domain.
Technical skills required:
- Fluency with R, python, and commonly used machine learning frameworks.
- Build key data sets to empower insights, Spark, SQL, MySQL, SAS, and distributed computing.
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