Uni Club - Risk Analyst Manager

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