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 analyticsDevelopment and deployment of fraud scorecardUpsell / Cross-sell strategy implementation using analyticsCreate 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 PostmanModel deployment in AWS and management of production environmentTeam player who can work with cross-functional teams to gather data and deriveinsights
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 toolsSkills : - Python, Logistic regression, SQL, Credit Risk, Amazon Web Services (AWS), Jenkins, Scorecard development and Machine Learning (ML)
Skills Required
Statistical Analysis, S3, Github, Dockers, Scorecard Development, Sql, Rest Api, Jenkins, Logistic Regression, Ec2, Bitbucket, Swagger, Excel, Postman, Python