Senior Research Engineer - II

Verisk Careers | Verisk; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Short-term incentive

Job summary

Verisk is hiring a Senior Research Engineer in Hyderabad to design and develop large-scale probabilistic flood hazard models, blending hydrology, hydraulics, climate science and software engineering. You will work with meteorologists, climate scientists, statisticians, actuaries, and software engineers to deliver advanced flood risk solutions across geographies.

Your work supports insurers managing flood risk portfolios with cutting-edge analytics, simulations, and data-driven insights.

Qualifications

• Master’s or PhD in Water Resources Engineering, Hydrology, Hydraulics, or 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).
• Ability to analyze complex datasets critically.

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.

Skills

Monte Carlo simulations

Python

R

SQL

MATLAB

Machine Learning

Hydrology modeling

Education

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

Tools

ArcGIS

Job description

• Job Category Data Science and Business Intelligence
• Posting Date 02/27/2026, 09:46 AM
• Job Schedule Full time
• Short Term Incentive Yes
• Long Term Incentive No
• Commission No
• Work Arrangement Hybrid
• Budgeted Salary Currency INR
• Division Catastrophe and Risk Solutions

Job 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)

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

About Us

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets.Learn more about Verisk and what we are doing within the insurance industry.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

Our Culture : Explore our inclusive, people-first culture that f o