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Senior Manager

3 months ago


Gurugram, India Home Credit India Full time

This role will lead the overall data science capability and manage the DS team at HCIN and drive ideation of use cases, build PoCs and PoVs, develop functional and technical designs for taking PoCs to production working with business teams across DS and data teams at HQ, HCIN and all the internal data teams to ensure decisioning opportunities are backed with proven analytical models


  • This is a very hands-on role and requires (apart from other managerial duties) to code, build and deploy models, deploy model monitoring mechanisms.
  • Extensive cross-organization collaboration playing a crucial role in interfacing with various business, IT, Risk and internal DS functions and helping them with identifying opportunities to leverage data assets to build decision support models and tools.
  • Provide oversight to the team managing portfolio risk across MOB’s and vintages – for the aligned products, focusing on growing and maintaining healthy portfolios of customers through various interventions such as vintage analysis, healthy cross-selling between products, analysis on loss of revenue etc.
  • Work with Telesales, Digital, Marketing & CRM teams on identifying new use cases, PoCs for for up/cross sell, for different marketing and digital campaigns
  • Drive the team to build advanced analytical models at scale spanning different areas – targeting and segmentation models, MMM, RFM, attribution models, next best offer, next best action, voice call (and meta data) analysis, propensity to convert, customer life-time value (CLTV), etc.
  • Be fully hands-on to drive complex projects
  • Responsible for the regular validation as well as new development of the portfolio score & segmentation models through collaboration with regional and global risk analytics team
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding HCIN, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Gain full understanding of the organization’s data assets to identify what can be leveraged
  • Brainstorm with team and mentor them on building innovative ideas to leverage data and build PoCs, PoVs, gain buy-in from business functions and PoCs and PoVs to production
  • Drive the translation of business use cases to analytics agenda, including data, approach and validation strategy
  • Develop Frameworks and guide data science and data engineering elements of AI & data science projects
  • Develop best practices for data science, considering the full analytical lifecycle
  • Mentoring junior staff regarding technical solutions and data analysis techniques.
  • Drive full and thorough documentation of existing and future analytical models, deployment plans, monitoring mechanisms