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Company Description

Job Description

The team focuses on developing products related to insured property exposures, data, and related applications. Such products are an important part of 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
  • 0-1 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

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

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