Posted on: 20/11/2025
Responsibilities :
- Enabling retail lending business to achieve growth outcomes via analytical strategy.
- Design and Own framework for creating customer-level pre-approved monthly offers.
- Develop a clear understanding of the client's business issue to inform the best approach to the problem. Root-cause analysis.
- Define data requirements for creating a model and understand the business problem.
- Clean, aggregate, analyze, and interpret data and carry out quality analysis of it.
- Set up data for predictive/prescriptive analysis.
- Development of AI/ML models or statistical/econometric models.
- Working along with stakeholders across the organization.
- Looking for insight and creating a presentation to demonstrate these insights.
- Supporting the development and maintenance of proprietary marketing techniques and other knowledge development projects
Requirements :
- Hands-on experience in Analytics Tools - Python/SQL/SAS.
- Predictive Analytics - Machine Learning Algorithms, Logistics and Linear Regression, Decision Tree, Clustering, XGBoost, Data-driven business strategy - Data Preparation, Data Exploration, Data modelling, and strategy implementation.
- 4 to 8 years of experience in analytics, preferably in the Financial services (Retail lending) industry, but not mandatory.
- Strong expertise in Python/SQL and ML algorithms.
- Expertise - we strive for a deeper understanding of our domain.
- Innovation - we aspire to do things creatively.
- Entrepreneurship - we are empowered to act decisively and create value.
- Integrity - we are consistent in our thoughts, speech, and actions.
- Trusteeship - we protect the interests of our customers, community, employees, partners, and shareholders.
- Humility - we aspire to be the best, yet strive to be humble.
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