Design and develop large-scale probabilistic flood hazard models at Verisk. Collaborate with experts to deliver flood risk assessment solutions across various geographies.
Responsibilities
Design, develop, and enhance probabilistic hydrologic and hydraulic model components
Implement stochastic and catchment hydrology frameworks within Monte Carlo simulations
Develop large-scale flood hazard maps using geomorphological and terrain analysis principles
Apply computational hydrodynamics techniques, including numerical solutions of PDEs
Analyze and integrate hydrological, geophysical, and climate data from diverse sources
Contribute to climate change analytics and scenario modeling
Collaborate cross-functionally with scientists, engineers, and actuaries
Debug and improve modeling code (C++ / C#) within development environments
Document research findings and contribute to technical reports and publications
Requirements
Master’s or PhD in Water Resources Engineering, Hydrology, Hydraulics, or a related field
4+ years of relevant industry or research experience
Strong fundamentals in stochastic hydrology, catchment hydrology, and open channel flow
Experience with probabilistic modeling frameworks (Monte Carlo simulations)
Knowledge of computational hydrodynamics and numerical PDE solving
Experience in climate change analytics
Hands-on experience with Machine Learning techniques
Advanced proficiency in R, Python, SQL, or MATLAB
Experience working with GIS tools (preferably ArcGIS)
Experience debugging C++/C# in Visual Studio
Ability to analyze complex datasets critically
Strong problem-solving and independent working ability
Effective communication, presentation, and report-writing skills
Ability to manage multiple priorities in a dynamic team environment
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