Research Engineer II - Structural Engineering & Risk

Verisk; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Verisk Analytics, Inc. in Hyderabad seeks a Research Engineer II to develop and enhance catastrophe risk models assessing vulnerability of buildings and infrastructure to wind, hail, snow, and freezing temperatures.

You will apply structural engineering, probabilistic modelling, and programming to estimate damages and losses, collaborating with multidisciplinary teams and communicating results to clients. Based in Hyderabad, you will validate model results, engage with internal stakeholders, and

Qualifications

• Ph.D. in Civil Engineering with emphasis in Structural Engineering.
• Experience in performance-based design, probabilistic risk assessment 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.

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.

Skills

C/C++

Python

MATLAB

SQL Server

GIS

Probabilistic modelling

Structural engineering

Documentation

Education

Ph.D. in Civil Engineering (Structural)

Tools

R

ArcView

Microsoft Office

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.

• 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.

• 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.