hiring for Modeler

Job Description

We are currently seeking an 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. 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 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 sources
• Interpreting 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 4+ years of experience.
• Strong data analysis and interpretation skills including manipulation, integrity, and modeling.
• Working knowledge and experience in R or Python
• Can write basic SQL queries to retrieve data for analysis
• Proficient in MS Excel (advanced knowledge such as using pivots, external data)
• Strong documentation skills with experience of working on MS Word, PowerPoint
• Excellent 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.
About RMS, A Moody s Analytics Company
• Risk Management Solutions, Inc. (RMS) models and solutions help insurers, financial markets, corporations, and public agencies evaluate and manage global risk throughout the world. RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, with products and models covering six continents.
• We lead an industry that we helped to pioneer catastrophe risk modeling and continue to innovate. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today Insurers, reinsurers, trading companies, and other financial institutions trust RMS solutions to better understand and manage the risks of natural and human-made catastrophes, including hurricanes, earthquakes, floods, terrorism, and pandemics.
• We got acquired by Moody s Analytics in 2021, opening fascinating new opportunities to expand our models, data, technology and services to industries beyond Insurance to help the world better manage its risks.
• RMS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without regard to race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, genetic characteristics, sexual orientation, or any other classification protected by applicable local, state, or federal law.
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Keyskills :
risk modelingrisk managementdata analyticssql queriesdata quality