Research Engineer II - Structural Engineering & Risk

Verisk
Hyderabad, Telangana, India

Job Description

We are seeking a Research Engineer II to develop and enhance catastrophe risk models that assess the vulnerability of buildings and infrastructure to wind, hail, snow, and freezing temperatures.

Based in Hyderabad, you will apply structural engineering, probabilistic modelling, and programming to estimate physical damage and financial losses. You will collaborate with multidisciplinary research teams, validate model results, and communicate findings to internal stakeholders and external clients.

Responsibilities

  • Acquire and analyse building inventory, damage, insured loss, and insurance claims data to understand vulnerability across global regions.
  • Work with proprietary datasets and integrate relevant insights into catastrophe risk models.
  • Develop vulnerability functions and monetary loss curves for structural and non-structural components of buildings and infrastructure.
  • Assess the effects of wind, tornadoes, hail, and snow on building and infrastructure performance.
  • Implement research findings through loss simulation code and analytical tools.
  • Validate model outputs and probabilistic risk assessments.
  • Use GIS and related tools for data analysis and visualisation.
  • Conduct real-time and virtual building damage assessments during and after significant natural catastrophe events.
  • Prepare technical documentation, publications, and client-facing materials.
  • Present research methods and findings to internal teams and external clients.

Qualifications

  • Ph.D. in Civil Engineering with a special emphasis in Structural Engineering.
  • Experience in performance-based design, probabilistic and stochastic risk assessment and modelling, and reliability theory applied to structural engineering.
  • Proficiency in C/C++ and Python, along with working knowledge of R, MATLAB, and Microsoft Office.
  • Ability to apply engineering principles to complex structural engineering and risk assessment problems.
  • Ability to conduct independent research and collaborate within a multidisciplinary team.
  • Excellent written and verbal communication skills.
  • Strong organisational and documentation skills, with close attention to detail.
  • Knowledge of GIS applications, such as ArcView, and SQL Server is a plus.

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 fosters innovation, collaboration, and belonging.

Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let’s build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

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Questions about this job

How do I apply for the Research Engineer II - Structural Engineering & Risk job at Verisk?

Use the apply link on this page: you apply directly with Verisk on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Verisk want for this Research Engineer II - Structural Engineering & Risk role?

The job description asks for Ph.D. in Civil Engineering with a special emphasis in Structural Engineering, Experience in performance-based design, probabilistic and stochastic risk assessment and modelling, and reliability theory applied to structural engineering, Proficiency in C/C++ and Python, Ability to apply engineering principles to complex structural engineering and risk assessment problems, Ability to conduct independent research and collaborate within a multidisciplinary team, Excellent written and verbal communication skills and Strong organisational and documentation skills, with close attention to detail. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Verisk?

Apply to the Verisk roles that match your experience, and tailor your resume to each job description: for this role that means showing Ph.D. in Civil Engineering with a special emphasis in Structural Engineering, Experience in performance-based design, probabilistic and stochastic risk assessment and modelling, and reliability theory applied to structural engineering, Proficiency in C/C++ and Python. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Research Engineer II - Structural Engineering & Risk job remote or onsite?

This is based in Hyderabad, Telangana.

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