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Director/Senior Vice President - Data Science - Credit Domain (12-18 yrs)

12.00 to 18.00 Years   Gurugram   27 Aug, 2021
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaDBA / Datawarehousing,General / Other Software
EmploymentTypeFull-time

Job Description

Industry - KPO / Research / Analytics Category - Consulting Skills - Data Science, Credit risk analytics, Team managementJob Type - Permanent Job Description - As a Senior Vice President, you will be primarily responsible to develop core IP (Intellectual Property) for banks credit intelligence suite. This will require you to have deep knowledge of statistics/data science/econometric tools, experience in building credit risk/ under-writing scorecards and assessment models and be up-to-date with changes in technology, finance and regulations.Client Details :- Europe based SME credit lending bank- Among Europes Fastest Growing CompaniesDescription :- Develop core IP for banks credit intelligence unit working closely with market research, credit and technology teams- Walk through existing and potential clients through scientific and statistical approach for IP creation- Lead and develop team of Data Scientists- Develop statistics/ data science models to analyse high-frequency financial and macro-economic data- Implement Machine learning algorithms including classification and clustering methods such as logistic regression, decision trees, random Forest, and K-means clustering- Up-to-date with latest changes and innovations in regulations, technological and financial sphereProfile :- Masters degree in Data Science, Computer Science, Information Technology, Economics, Statistics, Applied Math or any other related field- 12-18 years of working experience- Extensive knowledge of Statistical and Data Science techniques like time series analysis, multivariate regression, test of significance, maximum likelihood estimation, time series estimation & forecasting, optimization, simulations (Monte Carlo), asset pricing, data mining, pattern recognition, dimension reduction (PCA), Nowcasting and MIDAS- Hands on experience of using R or Python with focus on statistical packages and working with databases such as SQL- Good articulation skills for client interactions- Good to have - Experience in Investment researchJob Offer :- Great opportunity to develop professionally with a growing team- International exposure and be part of new-age Europe based bankTo apply online please click the Apply button below.,

Keyskills :
time series analysiscredit risk analyticsdata miningcredit risktime seriesdata sciencerisk analyticsdecision treesmarket researchmachine learningpattern recognitionlogistic regressioninformation technology

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