Organization: Risk Management Solutions (RMS)
Location: Noida
Industry: Disaster management
Type: NA
Salary: NA
Description: NA
Responsibilities:
- Developing high-resolution data sets of building stock in various geographies around the world, leveraging public and/or open-source data where available;
- Creating 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.
Educational 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.
Experience requirements:
- 2 to 5 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.
Desired Skills:
- 1 to 5 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.
Application Instructions:
Disclaimer:
- Candidates with Requisite Experience Only apply that too with relevant cover letter.
- The openings provided here is meant for information purposes only. Please cross-verify the details before applying.