Modeler

Job Description

Data Analytics and Solutions, Model DevelopmentRMS is the worlds leading provider of analytics and decision science solutions for the quantification and management of catastrophic risks throughout the world. RMS models and services are used by hundreds of insurance and reinsurance companies, hedge funds, corporations, and governments to assess a wide range of natural and man-made perils, from earthquakes and hurricanes to terrorism and disease pandemic.Job descriptionWe are currently seeking a Modeler to join our Data Analytics and Solutions team in the Model Development group. The team primarily focuses on modeling and developing products related to property exposure data and analytics and 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 and would be engaged in the development, design and implementation of a wide range of data 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:
• 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.
• Executing analytics of exposure data provided by our clients, and benchmarking RMS data products against such data.
• 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.
Requirements: Mandatory:
• Tech./ M. Tech in any field or Postgraduate in fields including: Geo Informatics, Operations Research, Applied Mathematics, Econometrics, and Statistics and 5+ years of experience.
• Strong data analysis and interpretation skills including manipulation, integrity, and modeling.
• Strong MS SQL experience, ability to write custom queries of medium to high complexity.
• Experience in R or Python
• 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.
• Ability to work with the Application Developers to implement data strategies, build data flows and develop conceptual data models.
• Experience in one or more of the following would be useful data mining or modeling, statistical models, catastrophe modeling domain.
Preferable:
• Knowledge of and experience in Power BI or any BI tools.
• Knowledge or experience in Property Insurance or Reinsurance sector
• Exposure to commercial or residential building construction practices
• Understanding of concepts of Geocoding and geo referencing.
• Experience in analyzing geospatial data using ArcGIS, python etc.
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.
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Keyskills :
equal employment opportunityenvironmental impact assessmentms sqlpower bidata mininghedge fundsdata qualitydata analysis