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Planning Analysis Markets Analytics

3.00 to 5.00 Years   Mumbai City   26 Aug, 2019
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

The primary responsibilities for this role will include:

    • Perform in-depth data analysis, using statistical and machine learning techniques, to creatively build predictive or explanatory models
    • Devising/improving models on new/existing regression analysis
    • Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner
    • Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury.
    • Develop metrics and statistical model prototypes that can be used to drive business decisions.
    • Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives
    • Participate on the ongoing process improvements, optimization, and rationalization efforts
    • Clearly document the code of the tools created; Publish and maintain clear user documentation; Write the official Model documentation and interact with the Model Governance group for review and approval; Ensure full SIT / UAT and Change controls of tools
The candidate will need to work closely with the Markets CCAR team in London and New York, partnering and supporting them just as a direct extension of the team sitting out of Mumbai. The candidate will also be able to interact with JPMorgan s Quantitative Research team in Mumbai and benefit from their experience.Essential Skills:
    • Proven experience programming in Python, R, or any other statistical/numerical programming language
    • Close attention to detail and ability to work to very high standards
    • Good communication and team skills in a multi-location set up
    • Relevant experience in similar roles in Statistical Analysis and/or working for global Financial companies and specifically around trading businesses will be an advantage
Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute. A computer science or statistic/mathematics background will be most suitable.,

Keyskills :
missalesqualityachinelearningseniormanagementuserdocumentationdataanalysisteamskillscomputersciencedataentryregressionanalysiscustomerserviceinvestmentbankingstatisticalanalysis

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