AddressData Scientist - Collection
Key Responsibilities:
- The objective of this role is to provide data driven solutions to improve collections strategy
- Development of DS models to improve various sub steps of collections like pre emi and post emi calling/FR strategy/repo strategy/liquidation strategy
- Defining end to end experimentation framework to test out above models and understand its impact on key collection and risk KPIs
- Giving feedback to risk/collections/credit/business for pre disbursal underwriting strategy as well basis insights from Collection DS
- Innovation and utilization of new and conventional data sources for collections efficiency improvement like phone data/app data/sms data/telecom data/banking data/demog data/bureau data/payment history/lat lon data through GPS etc.
- Innovative usage of data to improve traceability of the customer to bring down skip cases and hence reduce risk.
- Collaborate with the data engg team for development and deployment of models into production through Flask APIs. Efficient coding skills to build optimized APIs
- Ataleadand managerial level, the candidate should have leadership skill where the person can solve problems end to end/understand the big picture/define long terms strategies/create and manage a team.
Key Skills:
- Hands on of Modeling techniques like Linear/Logistic Regression/Decision Tree/Random
- Forest/XGBoost Models/Clustering techniques
- Image Processing is a add on-
- Audio/Video Analytics to create insights from calling data and FI data.
- Python
- SQL
- Tableau
- Excel
- Team Leadership
- Innovative Thinking
- Business Problem Solving
- End to End execution
