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Senior Machine Learning Model Development

4.00 to 6.00 Years   Gurugram   10 Apr, 2020
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Senior Machine Learning Model Development Role - The Edge

Our client is an International Investment Bank with a strong Global presence, looking to hire superb quantitative candidate for the Senior Model Development/Machine Learning role in Pune/Mumbai

Some of the key responsibilities will include:

  • Execute corporate-wide standards for model development, determining the frameworks that will be used, the source data that should be collected, assumptions that must be made, and the outcomes that need to be reviewed.
  • Ensure proper model documentation is being put in place.
  • Support the validation of models; the incumbent is expected to provide testing and analysis at the request of Model Risk Management.
  • Performance monitoring of models, identifying possible deteriorating by comparing outcomes to established thresholds.

To be eligible for this role you will require:

  • A superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills
  • minimum 4 years (4-8 preferred) of modeling experience in financial services or other industries and machine learning and artificial intelligence experience
  • proficiency in SQL and experience with complex quantitative modeling, numerical analysis, and computational methods using programming languages (such as Python, R) as well as mathematical/statistical software packages.
  • excellent scientific and technical documentation and presentation skills, assertiveness & influencing skills, and the skills to explain abstract theoretical concepts to a non-expert audience in easy-to-understand language.
  • attention to detail, inquisitive and a high level of accuracy.
  • Master s Degree/PhD in a quantitative discipline, including Finance, Mathematics, Statistics, Physics, Engineering, Economics.
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Keyskills :
risk managementmachine learning model developmentcommercial models financial servicesnumerical analysis presentation skillsprogr

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