Job Description Tools used: SAS,R Worked on projects which deals with Marketing Campaign and Personal loan services under retail banking. Currently dealing with various statistical model building techniques for setting up comprehensive solution for customer detection using descriptive and predictive analytical techniques. The current project utilize machine learning techniques like random forest and logistic regression. The project Coverage includes data gathering, data processing, model building, model validation and implementation. Responsibilities ? Interacting with Clients for Requirement gathering to prepare Design Documents. ? Responsible for preparing the High Level Design Flow diagrams. ? Examine underline patterns in historical data. ? Utilizing Dimension reduction techniques. ? Outlier and NA value handling in SAS and R. ? Creating the predictive Models using Classification and Regression Techniques. ? Model Testing and validation. ? Comparison of predictive models. ? Implementation of Models and Support.Company Description A Leading Financial Company,Comments Candidate have experience in SAS,R Max Salary we can offer – 15 lac fixed.
Job Description :
To ensure customer service and support all operations. To create customer delight at every interaction.
Interacting with external customers and internal customers and addressing their queries, requests and complaints.
Committed TATs are met consistently
Complaints Management- addressing customer complaints at the branch, system updation, coordination with Sales/HUB/ other functions for resolution.
Refunds processing and dispatch
Undelivered policy documents tracking and management.
Maintenance of all files and registers.
New Business Processing:-
Handling end to end New business processing starting from creation of Client id,Case start up, New business login, Follow up for policy issuance, Quality Check
Follow up with HUB for policy issuance of pending cases