Risk Management Solutions | Hiring | Senior Modeling Analyst | Noida | BigDataKB.com | 5 oct 2022

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Job Location: Noida

Job Description

We are seeking a senior analyst to join our cyber modeling and analytics team. The team focuses on
developing products related to insured property exposures, data, and related applications. Such products are an important part of RMS product line and provide a wealth of valuable information for our clients. The candidate will be working in a multidisciplinary environment developing, designing, and implementing a wide range of data products and solutions used in catastrophe risk modeling, valuation modeling and Property & Casualty data quality assessment and enhancement. The candidate will be expected to gain and further utilize an in-depth knowledge of the products and relevant technologies.

The incumbent of this role will be primarily responsible for:

  • Draw meaningful insights and inferences based on various white and research papers on different insurance domains, available online.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Should be able to automate various processes on regular basis using Python/R etc.
  • Provide professional skills necessary for all phases of data analysis, including the application of standard statistical methods for conducting analysis, QA/QC/, documentation and presentation.
  • Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts)
  • Serve as an active participant on cross-functional projects, interpreting data, and translating into actionable insights, provide support on ad-hoc analysis and reports.


Experience required

  • BS / MS degree in computer science or science related field including but not limited to
  • Operations Research, Applied Mathematics, Econometrics and Statistics
  • 2-3 years of hands-on experience in similar roles
  • Proficient in Python/R programming skills. Julia programming skill is a plus
  • Data manipulation tools (SQL, Microsoft Office); high level of expertise in Excel.
  • Excellent written/documentation and verbal skills, as evidenced by white papers or technical presentations at meetings and conferences.
  • Analytical and innovative thinking and problem-solving skills.
  • Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Added Advantage:
  • Experience in one or more of the following would be useful: data mining, text mining, machine learning developing statistical models.
  • Detail-oriented, self-driven quick learner with very strong analytical and problem-solving skills, and a high degree of self-motivation
  • Ability to independently drive projects and demonstrate technical ownership of the work




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