Modeling Services Associate
Moody's
- Noida, Uttar Pradesh
- Permanent
- Full-time
- Overall responsible to develop geotechnical data layers and their scientific interpretation as part of exposure data models.
- Performs complex data analysis using ArcGIS and related extensions/add-ons, relational databases, and other computer software; understands and can apply the capabilities of GIS, databases, and other computer programs to solve complex spatial and relational problems.
- Develop and maintain documentation on implementation activity.
- Responsible for process enhancement initiative to meet the model development needs.
- Accountable to develop method/technique to assess the quality of geotechnical datasets.
- Involve in applying geotechnical, geospatial, geostatistical, and other supportive domain knowledge in property specific attributes.
- Provide professional skills necessary for all phases of data development, data analysis, QA/QC, documentation, presentation, and data delivery.
- Graduate in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute.
- 2 to 4 years of total experience in developing and managing geospatial data and data components for catastrophe risk insurance industry and Probably 2 years of experience in SQL Server.
- Strong documentation skills with experience of working on MS Word, Excel (advanced knowledge such as using pivots, filters, using external data etc.), PowerPoint and Project
- Proactive approach - taking initiative to solve problems, build consensus, research alternatives, and implement solutions to benefit the team/projects.
- Excellent communication skills and ability to independently lead and drive projects.
- Strong working knowledge of ESRI GIS software products and hands on exposure to open-source platform such as QGIS, GRASS and SQL server etc.
- Familiarity with Google Earth Engine and Open Street map would be a plus.
- Proficiency in data analysis and data manipulation is required.
- Knowledge of analysis techniques like statistical methodology, numerical techniques, and data manipulation
- Programming skills in Python, VB.Net, C#, C++ etc. will be an added advantage.
- Quick leaner for new technologies, programming techniques, languages, and operating systems is must.