Data generation and storage:

- Ongoing generation of data tags / variables based on implicit and explicit data, depicting customer purchase, risk and behavioral properties

- Maintain quality of the variables, and fill rates; Devise methods to improve data collection

Portfolio management:

- Data science: Create new variables. Imbibe the value of creating and testing various strategies across the spectrum to learn and implement data-based solutions

- Create customer events, establish customer identity, analyze customer product usage behavior and engagement, suggest areas of improvement in customer engagement

- Creates value by monitoring performance of existing portfolio policies, testing new ideas, bringing new variables and models, and improving performance

- Develop policies around enabling add-on features (cash, EMI, PL, BT, etc.) for customers and management of the same based on ongoing performance

- Optimizing transaction rules to avoid unwanted usage of credit line while maintaining customer experience for genuine users

- Assessing different data vendors to understand various capabilities that can be used for customer assessment

- Incorporate & innovate around industry best practices to build state of the art portfolio risk engine

Policy implementation:

- Responsible for ensuring the policy rules automated in system are working as required

Monitoring and reporting:

- Meticulous about reporting weekly / biweekly / monthly performance, and while adding value through deep process knowledge through insights on each metric movement

- Automates reports where high frequency reporting and monitoring is required

- Create metrics to evaluate performance of the solutions created

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.