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Job description
We are currently seeking an Assc Analytics & Model Analyst to join our Data Analytics and Solutions team in the Model Development group. The team primarily focuses on modeling and developing products related to insured property exposures and loss curves, data and data analytics related applications and solutions.
The candidate will be working in a multidisciplinary environment with other catastrophe data and risk modelers across different time zones (California, London and India) and would be engaged in the development, design and implementation of a wide range of products used in catastrophe risk 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. Skills in numerical / statistical analysis / Operational Research, computing, databases, automation etc. would add value.
The incumbent of this role will be primarily responsible for:
Acquiring data from structured, semi-structured and unstructured data sourcesInterpreting data, analyzing results using statistical techniques and interpret trends or patterns in complex data sets.Locate and define new process, improvement opportunities and quality improvement areas.Presenting the findings, preparing technical reports, and making suitable recommendations.Writing specifications for process automation.Process product reviews and communicate quantitative and qualitative findings to the development team based on test results.Ensure that the final product satisfies the product requirements and meet end-user expectations.Researching and mining socio-economic and engineering information related to insured properties mainly in different countries.Research the current market for similar products and compare results.
Requirements:
Mandatory:
Tech./ M. Tech in any field or Postgraduate in fields including Applied Mathematics, Econometrics, and Statistics and 1-2 years of experience.Strong data analysis and interpretation skills including manipulation, integrity, and modeling.Working knowledge and experience in 'R' or PythonCan write basic SQL queries to retrieve data for analysisProficient in MS Excel (advanced knowledge such as using pivots, external data)Strong documentation skills with experience of working on MS Word, PowerPointExcellent written and verbal communication skills.
Other Skills:
Detail oriented, self-driven quick learner with very strong analytical, database and data manipulation skills.A team player with a high degree of self-motivation requiring minimum supervision.
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.