Senior Research Engineer - II

Description

As a Senior Research Engineer, you will design and develop large-scale probabilistic flood hazard models, working at the intersection of hydrology, hydraulics, climate science, and software engineering. You will collaborate with meteorologists, climate scientists, statisticians, actuaries, and software engineers to deliver cutting-edge flood risk assessment solutions.

Your contributions will directly support decision-making for insurers managing flood risk portfolios across multiple 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

Qualifications

Education:

• Master’s or PhD in Water Resources Engineering, Hydrology, Hydraulics, or a related field

Experience:

• 4+ years of relevant industry or research experience

Technical Skills:

• 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

Professional Skills:

• 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