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Kotak

Business Intelligence II-SUPPORT SERVICES-Data & Analytics - In House Engineering

Kotak Mumbai, Maharashtra, India

Banking · 10,001+ employees

7 h ago
business-intelligence Senior (5-10 yrs) Full-time India
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About the role

The role involves managing business analytics requirements, developing risk-based pricing models, and identifying new segments to drive growth. You will collaborate with cross-functional teams including sales, risk, and data engineering to implement technology-based solutions and optimize funnel efficiencies.

What they look for

Business Analytics Python SQL Spark AI Credit Risk Portfolio Analytics Cross-sell Analytics Stakeholder Management Data Engineering Product Management Reject Inferencing Voice Analytics Campaign Management Strategy Development

Requirements

Candidates must have 6-10 years of experience in the analytics domain, preferably within retail lending or consulting. A strong educational background including an MBA, M.Tech, or Master's in Statistics/Analytics from a Tier I institution is required, along with proficiency in Python, SQL, and Spark.

Full description

  • 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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