Job Views:  
250
Applications:  74
Recruiter Actions:  12

Posted in

IT & Systems

Job Code

966594

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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Job Views:  
250
Applications:  74
Recruiter Actions:  12

Posted in

IT & Systems

Job Code

966594

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