- Analytical interventions required to increase market share of the ETB customer segments by also managing the risk and building marketing analytics strategy proposals
- Actively work with Risk & Policy counterparts to design segments to Pre-approve using proprietary risk scorecards, customer transaction data and external data sources
- Implement risk management strategies while also driving business growth- manage portfolio performance and risk regularly
- Drive business key KPIs on Upsell and Cross-sell; by optimising segment level offering using right pricing models
- Design Decision Tree or Regression Models to identify better/worse performing segments
- Create reports and dashboards on portfolio performance for consumption of senior leadership team
- Stakeholder management and networking across analytics team counterparts required to build and implement strategies
- Should be able to collaborate with Data engineering teams/Product management to implement and launch new technology and AI based solutions for driving business growth and also data management
Skills Required:
- Prior experience of working in credit risk, portfolio analytics and cross- sell analytics profile desired.
- Should have hand-on experience on up-to-date analytics tech stacks: SAS, Python, R and Agentic AI flow creation
- MBA/M.Tech or BE in Computer Science, Masters from Tier I colleges like IIT/NIT/IIMs/JBIMS/MDI/NMIMS/IIFT etc.
📌 Business Intelligence II-SUPPORT SERVICES-Data & Analytics - In House Engineering (Mumbai)
🏢 Kotak Mahindra Bank
📍 Mumbai
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