Data Scientist - Credit Risk

0 years

16 - 23 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Domain - Credit risk / Fintech

Roles And Responsibilities

  • Development, validation and monitoring of Application and Behaviour score cards
for Retail loan portfolio
  • Improvement of collection efficiency through advanced analytics
  • Development and deployment of fraud scorecard
  • Upsell / Cross-sell strategy implementation using analytics
  • Create modern data pipelines and processing using AWS PAAS components (Glue,
Sagemaker studio, etc.)
  • Deploying software using CI/CD tools such as Azure DevOps, Jenkins, etc.
  • Experience with API tools such as REST, Swagger, and Postman
  • Model deployment in AWS and management of production environment
  • Team player who can work with cross-functional teams to gather data and derive
insights

Mandatory Technical Skill Set

  • Previous experience in scorecard development and credit risk strategy development
  • Python and Jenkins
  • Logistic regression, Scorecard, ML and neural networks
  • Statistical analysis and A/B testing
  • AWS Sagemaker, S3 , Ec2, Dockers
  • REST API, Swagger and Postman
  • Excel
  • SQL
  • Visualisation tools such as Redash / Grafana
  • Bitbucket, Githubs and versioning tools
Skills:- Python, Logistic regression, SQL, Credit Risk, Amazon Web Services (AWS), Jenkins, Scorecard development and Machine Learning (ML)

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