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Sr. Analyst, Modeling

0.00 to 2.00 Years   Noida   22 Jan, 2021
Job LocationNoida
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

Senior Modeling Analyst:Objective of the Analyst/ Senior Analyst /Senior Engineer:As a Senior Analyst / Analyst, the applicant will be highly involved in quantification of catastrophic risk using a variety of databases and RMS models, and pursue model testing through RiskLink/ RMS(one) codes with critical review of inputs and result outputs in a logical manner. The person will be required for RiskLink testing of updated model components and RMS(One) testing for model certification purpose.Key Accountabilities & Deliverables:

  • Understand the in-depth working of RMS models to conduct appropriate analysis and model testing.
  • Demonstrate good understanding of catastrophe modeling after structured training.
  • Learn best practices in catastrophe modeling and reflect this in your day to day work.
  • Overall responsible for model testing and provide high quality analysis of modeled results.
  • Generate insight review of model component sensitivity and result outputs through series of analyses.
  • Involve latest technology, additional data sources and domain knowledge in model testing and model review process.
  • Proactive participate and provide critical support in model review process and development of risk model components.
  • Develop and maintain documentation on model testing and model review activities.
Experience Required:
  • Preferably Post Graduate (M.Tech) in Engineering/Civil Engineering, Atmospheric Science, Earth Science or Environmental Science from a reputable institution such as IIT.
  • Two to three years of RMS experience in catastrophe hazard model development/ RiskLink analysis.
  • Strong foundation in analytics and data analysis and processing
  • Critical thinking skills, strong analytical and problem solving abilities.
  • Working experience with both statistical and scientific languages R, VB, C/C++, FORTRAN, R, MATLAB, etc is essential.
  • Good exposure of MS SQL, MS Access, MATLAB, MS Excel (on writing macros) is desirable.
  • VBA and VB.Net is an added advantage as are a working knowledge of GIS tools (MapInfo, ArcInfo).
  • Knowledge of natural catastrophe risk modeling domain would be advantageous.
  • On hand experience on GIS application tools (ArcGIS, MapInfo) would also be advantageous.
  • Excellent written and verbal communication.
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Keyskills :
environmental impact assessmentms sqlms accessdata analysisrisk modelingearth scienceproblem solvinggis applicationthinking skillsquality analysis

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