Senior Analyst Data Science Risk Analytics Modelling

4 weeks ago

Chennai, India timesjobs Full time
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 7 - 12 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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