Kotak Mahindra Bank
Jobs
Business Intelligence II-SUPPORT SERVICES-Data & Analytics - In House Engineering
Kotak Mahindra Bank
Business Intelligence II-SUPPORT SERVICES-Data & Analytics - In House Engineering
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Leads business analytics for retail lending, including credit risk, portfolio and cross-sell analytics, policy development, segmentation, pricing, funnel performance, campaign strategy, sales efficiency, and customer retention. Partners with Risk, Sales, Data Engineering, Product Management, and Partnerships teams to implement analytics-driven growth strategies, dashboards, technology solutions, and data management initiatives.
- Business Analytics Lead
- Expected to manage the PL FUW business analytics requirements
- Policy challengers to be created using Reject inferencing
- New Segment identification and work with Risk & Business on policy and TTD
- Location distribution and expansion strategy along with Sales team target setting
- Monitor Approval Rates, Funnel efficiencies and TAT management
- Tracking on Sales team efficiencies using Channel Tracking Dashboards and Voice Analytics insights
- Provide Leads for Sales manager for Customer Retentions and Prospective BT opportunities
- Implementation of Risk based Pricing model to increase sourcing and profitability
- NTB DIY Journey Funnel management
- Work with Risk to make changes in Strategy for growth
- Work with Partnerships data and execute DREs
- Journey funnel management
- Campaign management strategy
- 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 based solutions for driving business growth and also data management
Skills Required:
- 6-10 years of experience in analytics domain (preferably in Retail Lending – Banks/NBFCs/Consulting).
- Prior experience of working in credit risk, portfolio analytics and cross- sell analytics profile desired.
- Should have hands-on experience on modern analytics tech stacks: Python, AI, Spark, Sql etc
- Should have experience of stakeholder management at Leadership level
- MBA/M.Tech or BE in Computer Science, Master in Statistics or Analytics from Tier I colleges like IIT/NIT/IIMs/JBIMS/MDI/NMIMS/IIFT etc
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