This entry Level Engineer position is responsible for exploring, understanding, collecting and analyzing a variety of proprietary datasets from across the Verisk family of companies. Verisk thrives when it comes to data assets that are broadly centered on exposures and claims. A successful candidate will employ their knowledge of civil engineering and statistics to glean into insights from these proprietary data sources towards eventual implementation of the same into Verisk's natural catastrophe extreme event models globally. The role will also explore how such datasets can be used on a continual basis to evaluate and refine Verisk's view of risk built into these natural catastrophe models. Verisk's models cover worldwide regions, including perils such as straight-line wind from tropical cyclones, severe convective storms and winter storms, hail, snow, and freezing temperatures, earthquakes and wildfires. The candidate will work closely with a team of structural engineers, hydrologists/hydraulic engineers, statisticians, data scientists, and specialists in financial application of probabilistic risk assessment. The evolving nature of research work at Verisk creates unique and challenging problems that spark innovation and growth and creates opportunities for its employees. A successful candidate should have a desire to use problem-solving skills in applying sound engineering principles to solve unique and challenging problems in the fields of civil/structural engineering and risk assessment. It is expected that candidates will be highly motivated, detail-oriented, well-organized, able to perform high-quality self-directed research, have outstanding written and verbal communication skills, and be team-oriented. About the Day-to-Day Responsibilities of the Role * As a member of our research team, the day-to-day responsibilities will include the following: * Exploring, acquiring, understanding and analyzing a variety of proprietary Verisk datasets on both exposures and claims on a constant basis and summarizing insights gleaned * Understanding and exploring the use of data pertinent to building attributes across all of Verisk's natural catastrophe models for several regions of interest worldwide * Analytical analyses of claims and industry insured losses towards validating Verisk's natural catastrophe models and evaluating the established view of risk * Implementation of research into Verisk's portfolio risk analysis models, including programming loss simulation codes and analysis tools, and risk evaluation * Use of a variety of productivity tools for data acquisition, storage, visualization and analysis * Preparation and presentation of work at internal and external meetings as well as technical writing for internal and external publications including client-facing documentation About You and How You Can Excel in This Role * Masters or Ph.D. in Civil Engineering with a special emphasis in Structural Engineering * Good knowledge of the insurance industry and application of catastrophe models in the same is a plus * Proficiency in C/C++, Python along with other productivity software including R, MATLAB, Microsoft Office * Excellent written and verbal communication skills * Insurance industry experience is a plus * Knowledge of GIS applications (e.g. ArcView) and SQL server is a plus #LI-SM1 #LI-Hybrid