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    Senior Analyst Data Science Risk Analytics Modelling - Chennai, India - timesjobs

    timesjobs
    timesjobs Chennai, India

    6 days ago

    Default job background
    Full time
    Description
    Senior Analyst, Data Science, Risk Analytics & Modelling- Chennai ( 2 Years of Experience)

    Senior Analyst, Data Science, Risk Analytics & Modelling- Chennai ( 2 Years of Experience) A Client of Analytics Vidhya

    Chennai INR LPA Experience : 2 YRS


    Openings:
    1


    Details:


    We are looking to hire a senior analyst (Data Science) to work with its risk analytics team based in Chennai.

    The team focusses on developing data driven risk analytics models to gain insights into borrower behaviour across multiple asset classes using advanced statistical learning methods on more than 6 million underlying loan contracts and estimate loss on its structured finance credit and corporate portfolio.

    Key responsibilities

    Develop and implement new (/maintain and use existing) statistical/machine learning models to identify performance and risk drivers in the credit portfolioDevelop and implement new (/maintain and use existing) risk and performance assessment models to measure risk and performance in the portfolio

    Manage large loan level and borrower level data used for risk and learning models

    Measure the risk and performance indicators for debt and structured finance products using existing and new models

    Perform qualitative and quantitative analysis of various performance metrics for structured transactions

    Document the analysis methodology and findings in report and present the analysis to the internal and external stakeholders/platforms (model notes, white papers, working papers, etc.)

    Contribute towards other risk management work done by the risk management function

    Travel not more than 20 PERCENT of the time to meet partners and understand the lending models

    Essential Skills-At least two years of experience in implementing statistical/machine learning algorithms (regression, decision trees, SVM) and statistical programming tools (R/Matlab/Octave/Weka)


    Proficiency in programming:
    R/Python/VBA

    Strong background in statistics and probability

    Experience in handling large structured and unstructured datasets

    PGDM/Masters degree in Maths/Statistics/Econometrics/Economics/Finance/Engineering /other quantitative disciplines

    Actuaries/FRM/CFA/CQF/PRM certification would be a plus

    Knowledge and experience in structured finance products (securitization structures) would be a plus

    Excellent writing, oral communication and presentation skills

    Min


    Qualification:
    pg

    Skills Required:
    data science, decision trees, machine learning, matlab, modeling, python, r, regression, risk, statistics, svm
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