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    Analytics Head - Bengaluru, India - Htree HR Consultants Pvt Ltd

    Htree HR Consultants Pvt Ltd
    Htree HR Consultants Pvt Ltd Bengaluru, India

    1 day ago

    Default job background
    permanent Accounting / Finance
    Description

    Role :
    We have an Opening for Head of analytics with one of the leading NBFC.


    Location :
    Bangalore.


    • Minimum 10+ Years of experience with large banks, NBFCs or equivalent financial institutions in leading analytical roles with hands on experience of handling large sets of data.
    • Exposure to building and deploying machine learning & deep Learning models in production.
    • 5+ years of experience in data management technology.
    • Very strong fundamentals of machine learning and statistical concepts and hands on knowledge on tools like Python, R, querying language and visualization tools.
    • Experience of managing analytics team, leading ideation and design discussion for the models.
    • Knowledge of working on cloud technologies and using MLOps.
    • Experience in building or managing the Decision Sciences vertical of a lending financial institution like Bank, NBFC or Fintech.

    Job Description :

    • Creates analytics roadmap, prioritizes use cases, collaborates with business & IT, manages analytics team.& incubates new ideas.
    • Help build large scale analytical models such as supervised & unsupervised models across customer underwriting, collections and acquisition use case families for lending and for financial products such as personal loan, business loan and housing loans.


    Drive automation of process for the analytical reporting such as building productivity dashboards, automated leads funnel measurement capability and others.


    • Understand the problem area indepth, map it using a structured approach and identify the appropriate analytical model to solve the problem.
    • Translates business problems into actionable & sophisticated analytical use cases and generate insights for decision making at management level.
    • Drive large scale analytical models such as segmentation models, prioritization models, underwriting. models for lending and collections for financial services .
    • Provide expertise on statistical / mathematical concepts for identified problems and provide appropriate models to solve them.
    )
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