Credit Risk Analytics Scientist

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 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