Data scientist - Credit risk
Work experience - 4 to 5 years
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 developmentPython and JenkinsLogistic regression, Scorecard, ML and neural networksStatistical analysis and A / B testingAWS Sagemaker, S3 , Ec2, DockersREST API, Swagger and PostmanExcelSQLVisualisation tools such as Redash / GrafanaBitbucket, Githubs and versioning tools