Lead Modeler

RMS (Noida, UP, India) 15 hours ago

Lead Modeler, Model Development

Overview

Risk Management Solutions (RMS) is the world's leading provider of solutions for understanding the risks of natural catastrophes. Our Model Development group builds the models and data at the heart of these solutions, quantifying the potential impacts from earthquakes, tropical cyclones, floods, and other natural and man-made perils.  Our clients include several hundred insurance and reinsurance companies as well as brokers, banks, asset managers, hedge funds, regional and local governments, and multilateral agencies around the world. 

The Position

We are currently seeking a Lead Modeler to join our Exposure Development team in the Model Development Group.  

The Model Development group focuses on developing industry leading stochastic catastrophe models for the quantification and management of catastrophe risk.  Within this group, the Exposure Development team focuses on developing data sets of economic and insured property exposures for our natural catastrophe models.  Such products are essential not only for the model development process, they also are a key component of the RMS product line and provide a wealth of valuable information for our clients.

The candidate will be working in a multidisciplinary environment with catastrophe risk modelers in other teams and across different time zones (California, London, and India).  He or she will be engaged in the full scope of exposure data development, from primary research to implementation to market release and post-adoption client support.  The candidate will be expected to gain and further utilize an in-depth knowledge of the RMS products and relevant technologies.

Key responsibilities of this role will include:

  • Leading development of high-resolution data sets of building stock in various geographies around the world, leveraging public and/or open-source data where available;
  • Leading development of valuation models for various types of buildings and infrastructure, and integrating these with building stock data sets to develop models of economic exposure;
  • Researching insurance market practices, including penetration rates and prevailing policy terms and conditions, to create exposure data sets specific to the insurance industry.

Requirements

  • Post-graduate / Masters/Doctorate in a field related to science or engineering, including but not limited to: Civil/Structural Engineering, Urban Planning, Geographic Information Systems, Financial Engineering, Statistics, or Computer Science;
  • 5 to 8 years of experience in creating quantitative models using large data sets (SQL, R, Python, Matlab, or similar) with a significant geospatial component;
  • Project management experience, and the ability to work collaboratively with a team of colleagues across groups and offices;
  • Excellent written and verbal communication skills – evidenced by presentations at meetings and conferences – with both technical and non-technical audiences.

Preferred

  • 7 to 12 years of analytical modeling experience in the insurance, resilience, or disaster risk reduction fields
  • Experience in creating analytical models with data from official sources (e.g. Census, tax/property data) and/or open-source data (e.g. OpenStreetMap)
  • Familiarity with tabular and spatial data sets commonly used for modeling exposure and risk: population (GPW, GHSL); socioeconomic (World Bank, UNDP); and physical/environmental (MODIS, Nighttime Lights, satellite imagery)
  • Knowledge of building construction practices across countries, with an interest in the social and cultural contexts that guide growth and development
  • Understanding of the characteristics of property insurance markets around the world, including common practices around policy terms, such as limits, deductibles, and coverage types.

About RMS

There is a 1% chance an earthquake will cause $50 billion of insured loss within the next 12 months and a 5% chance that a hurricane will cause $60 billion of insured losses next year. At RMS, we turn risks into real numbers. How? By building simulation models that allow insurers and investors to understand and manage their global risks--from hurricanes, quakes, and wildfires, to cyberattacks, terror attacks, and pandemics. Why? We want to build a more resilient world, and we are on a mission to help make every risk known.

Insurers, reinsurers, investors, financial institutions, governments, and NGOs trust RMS solutions to better understand and manage catastrophe risks. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today, RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, and over 1,000 products and models now covering six continents.

RMS helped pioneer the natural catastrophe model market we now lead – and we continue to innovate. In May 2019, we announced  RMS Risk Intelligence™ (RI) , an open-standard platform for strategic risk management. Through this purpose-built platform, clients can tap into RMS HD models, rich data layers, intuitive applications and APIs that simply integrate into existing enterprise systems to support business decisions across underwriting, risk selection, mitigation, and portfolio management.

How we understand and manage risk affects  everyone  and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. Join our team of leading scientists, developers, industry experts, and world-class professionals. Together, RMSers make a difference on a truly global scale.

Visit  RMS.com  to learn more and follow us on  LinkedIn  and  Twitter

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.

To all recruitment agencies:  RMS does not accept unsolicited agency resumes and will not be responsible for the payment of placement fees related to unsolicited resumes submitted to open positions, job aliases, or to our employees. 

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