QUALIFICATION :
Masters in Economics, Statistics, Computer Sciences, Mathematics, Operational Research, Business or Engineering graduate from a reputed college
EXPERIENCE :
- Hands on experience in Analytics Tools – Python / SQL / SAS
- Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree,
- Clustering, XGBoost
- Data driven business strategy – Data Preparation, Data Exploration, Data modelling and strategy implementation
Job Conditions :
1-6 years of experience in analytics preferably in Financial services (Retail lending) industry, but not Strong expertise in Python / SQL and ML algorithmsExpertise – we strive for a deeper understanding of our domainInnovation – we aspire to do things creatively ActionEntrepreneurship – we are empowered to act decisively and create valueIntegrity – we are consistent in our thoughts, speech and action CareTrusteeship – we protect interests of our customers, community, employees, partners & shareholdersHumility – we aspire to be the best, yet strive to be humbleKEY ROLES / RESPONSIBILITIES :
Enabling retail lending business to achieve growth outcomes via analytical strategy.Design and Own framework for creating customer level pre-approved monthly offersDevelop a clear understanding of client’s business issue to inform the best approach to the problem, Root Cause AnalysisDefine data requirements for creating a model and understand the business problemClean, aggregate, analyze, interpret data and carry out quality analysis of itSet up data for predictive / prescriptive analysisDevelopment of AI / ML models or statistical / econometric models.Working along with stakeholders across the organizationLooking for insight and creating a presentation to demonstrate these insightsSupporting development and maintenance of proprietary marketing techniques and other knowledge development projects