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    Manager - Credit Risk Modelling - SAS + Credit Risk + Modelling (6-9 yrs) - Delhi NCR, India - iimjobs

    iimjobs
    iimjobs Delhi NCR, India

    Found in: beBee S2 IN - 1 week ago

    Iimjobs background
    Full time
    Description
    Manager - Credit Risk Modelling

    • The candidate should have analytics experience at least 5+ years in BFSI domain with sufficient exposure of Fraud Analytics
    • Must have a strong knowledge of SAS

    Responsibilities :

    • Contribute to how analytical approach is structured for specification of analysis
    • Participate in design of analysis and modeling approach with senior managers and the client
    • Drive project methodology with relative ease
    • Emphasis is on ownership and executing endtoend delivery of analysis
    • Extremely comfortable working with data, including managing large number of data sources, analyzing data quality and proactively working with client's data/ IT teams to resolve issues
    • Use variety of analytical tools (SAS, CART, SPSS etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions
    • Reformulate highly technical information into concise, understandable terms for presentations

    Qualifications :

    • Master's or Bachelor's degree in engineering, math, statistics, economics or related field from toptier universities with a strong record of achievement, solid analytical ability, and an entrepreneurial handson approach to work
    • 3+ years of consulting, analytics delivery experience and overall 6+ years of experience
    • Very strong analytical skills with the demonstrated ability to research and make decisions based on the daytoday and complex customer problems required, overall 6+ Yrs of experience
    • Basic knowledge of financial instruments
    • Options, Forwards, Futures etc.
    • CFA/FRM are not mandatory but an added advantage


    • Excellent communication skills

    • Ability to present analysis and findings to the senior leadership of the client
    • Strong in SAS/R, SQL, Excel and VBA

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