Sr. Modeling Analyst

  • Company:
    Risk Management Solutions Inc.
  • Location:
  • Salary:
    negotiable / month
  • Job type:
  • Posted:
    2 months ago
  • Category:
    Consulting Services

Skill: c , , image processing , c# , python , remote sensing , esri , sql , satellite , technical skills , simulation models; Exp: 4-5 years; Theres a 5 PERCENT chance that a hurricane will cause $60 billion of insured losses next year and a 1 PERCENT chance an earthquake will cause $50 billion of insured loss in the next 12 months. At RMS, we build the simulation models that allow insurers and investors to understand portfolio risks due to catastrophes natural catastrophes (hurricane, earthquake, flood), terrorism, pandemic, and changes in life expectancy. We are one of the most exciting companies youve probably never heard of, unless youre one of our hundreds of clients in the (re)insurance, banking or hedge fund sector. We lead an industry we helped pioneer and ultimately our work makes a true impact on the world at large. How we understand and manage risk affects everybody and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. We are evolving our vision by delivering future solutions in the cloud, our cutting edge risk management platform RMS(one) for the global risk market. RMS(one) will create a holistic and integrated view across the enterprise with one platform for all models, all points of view, and all data. All will be run as equal partners on RMS(one). RMS has 1,100 employees in 11 countries, including offices in Newark (CA-USA), Noida (India), London (UK), Hoboken (NJ-USA), and Zurich (Switzerland). To find out more, visit Or follow us on Facebook, LinkedIn or @rmsjobs on Twitter. RMS is proud to be an equal opportunity employer RMS does not accept unsolicited agency resumes and will not responsible for the payment of placement fees related to unsolicited resumes submitted to open positions, job aliases, or to our employees. Senior Analyst Noida, India Model Development Objective of the Role The candidate will be extensively involved in all the Geo-Spatial data development related activities like property specific data development using satellite data, web resources and open data products. The candidate will also be responsible for QA/QC of the data developed by team and will be ensuring smooth delivery to RMS internal stake holders. Maintain and deliver the geospatial data and its components on time with highest quality. Skills in programming, numerical/statistical analysis, computing, databases etc. would add value. Key Accountabilities & Deliverables Overall responsible to develop geotechnical data layers and their scientific interpretation as part of exposure data models 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 The position will require independent work and being able to perform required research Provide professional skills necessary for all phases of data analysis, QA/QC, documentation, and presentation. Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts) Serve as an active participant on cross-functional projects, interpreting data, and translating into actionable insights, provide support on ad-hoc analysis and reports. Experience Required Post Graduate in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute 4 to 5 years of total experience with probably 3-year experience in developing geospatial data and data components for catastrophe risk insurance industry Research, collect, analyze, and consolidate available datasets (Land Use and Land Cover LULC – layers, building footprints, industrial facility polygons, road networks etc.) Analyze remotely sensed data from airborne, satellites, or ground-based platforms, using image processing software, GIS software, or statistical analysis software. Knowledge of analysis techniques like statistical methodology, numerical techniques, and data manipulation Critical thinking skills and hands on experience in data interpretation, formulating hypotheses and being able to make educated guesses when data may be sparse or unavailable 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 Excellent communication skills and ability to independently lead and drive projects. Technical Skills Strong working knowledge of ESRI GIS software products and hands on exposure to open source platform such as QGIS, GRASS etc. Familiarity with Google Earth Engine, Open street map and SQL Server 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 , SQL etc. will be an added advantage Quick leaner for new technologies, programming techniques, languages, and operating systems is must

Software Engineer


Experience: 4-5

Function: IT Software : Software Products & Services