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| Job Location | Chennai (Tamil Nadu) |
| Education | MBA/ PGDMAny Graduate |
| Salary | As per Industry Standards |
| Industry | Educational/Training, Research/Surveyor/MR |
| Functional Area | Banks/Insurance/Financial Services |
| EmploymentType | 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 VidhyaChennai INR 7 - 12 LPA Experience : 2 YRS. Openings: 1Details: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 responsibilitiesDevelop 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 portfolioManage large loan level and borrower level data used for risk and learning modelsMeasure the risk and performance indicators for debt and structured finance products using existing and new modelsPerform qualitative and quantitative analysis of various performance metrics for structured transactionsDocument 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 functionTravel not more than 20 PERCENT of the time to meet partners and understand the lending modelsEssential 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/VBAStrong background in statistics and probabilityExperience in handling large structured and unstructured datasetsPGDM/Masters degree in Maths/Statistics/Econometrics/Economics/Finance/Engineering /other quantitative disciplinesActuaries/FRM/CFA/CQF/PRM certification would be a plusKnowledge and experience in structured finance products (securitization structures) would be a plusExcellent writing, oral communication and presentation skillsMin. Qualification: pgSkills Required: data science, decision trees, machine learning, matlab, modeling, python, r, regression, risk, statistics, svm
Keyskills :
econometrics portfolio risk analytics cfa frm risk management structured finance lending senior analyst risk