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    Job · 21162824

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    Senior Manager/Chief Manager - SME Risk - IIT/NIT/BITS

    Human Touch · Bengaluru · onsite · Posted 70d ago

    Undisclosed6–10 yrsfulltimeSourced fromIIM Jobs

    About a minute. You'll make an account on the way through.

    About this role

    Role - Senior Manager / Chief Manager - SME Risk

    Roles & Responsibilities:

    - Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well.

    - Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.)

    - Identify trends by performing necessary analytics at various cuts for the Portfolio.

    - Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio.

    - Work with Product team and engineering team to help implements the Risk strategies.

    - Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models.

    - Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting.

    - Should have good understanding about various unsecured credit products.

    - Should be able to understand the business problems and helps convert them into the analytical solutions.

    Required skills & Qualifications:

    - Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS).

    - 6 + years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights.

    - Proficiency in SQL and other analytical tools/scripting languages such as Python or R.

    - Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions.

    - Proficiency with statistical and data mining techniques.

    - Proficiency with machine learning techniques such as decision tree learning etc.

    - Should have an experience working with both structured and unstructured data.

    - Fintech or Retail/ SME/LAP/Secured lending experience is preferred.

    Sourced from iimjobs

    Skills

    data miningrisk analyticsstatisticsAnalyticsSQLRisk Management

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