What are the responsibilities and job description for the Catastrophe Risk Analyst position at Moody's Corporation?
Experience Level: Experienced Hire
Categories:
The Position
Responsibilities include the development and validation vulnerability, and risk assessment across a global catalog of RMS catastrophe risk models with an emphasis on understanding, developing, and implementing state-of-the-science practices. The candidate is expected to have a strong background in probabilistic risk assessment, knowledge of actuarial methods, and/or the ability to interpret and use best available scientific information for assessing frequency, severity, damage, and loss. . You’ll join a highly-skilled, motivated, and collaborative team that is passionate about using science to quantify risk for the insurance and financial industry and to build resilient societies.
You’ll join a highly-skilled, motivated, and collaborative team that is passionate about using science to quantify risk for the insurance and financial industry and to build resilient societies.
Development of vulnerability functions for computer-based catastrophe risk models
Masters’ or PhD in Civil/Structural/Mechanical Engineering or related fields.
Categories:
- ESG Analytics, Data & Research
- 7575 Gateway Blvd., Suite 300, Newark, California, 94560, US
The Position
Responsibilities include the development and validation vulnerability, and risk assessment across a global catalog of RMS catastrophe risk models with an emphasis on understanding, developing, and implementing state-of-the-science practices. The candidate is expected to have a strong background in probabilistic risk assessment, knowledge of actuarial methods, and/or the ability to interpret and use best available scientific information for assessing frequency, severity, damage, and loss. . You’ll join a highly-skilled, motivated, and collaborative team that is passionate about using science to quantify risk for the insurance and financial industry and to build resilient societies.
You’ll join a highly-skilled, motivated, and collaborative team that is passionate about using science to quantify risk for the insurance and financial industry and to build resilient societies.
Development of vulnerability functions for computer-based catastrophe risk models
- Assessment of building damageability and development of physics-based vulnerability functions for property damage and business interruption coverage.
- Research into past and current design and construction practices in different regions of the world.
- Provide technical support both internally to Moody’s RMS’ staff and to clients.
- Prepare presentations and reports for internal and external publications as well as for clients regarding technical aspects of model development.
- Conduct studies of historical catastrophes, past environmental conditions, and atmospheric dynamics to identify and assess potential impacts on buildings and infrastructure.
- Perform field surveys after earthquakes and other catastrophes to identify engineering problems and damage mechanisms.
Masters’ or PhD in Civil/Structural/Mechanical Engineering or related fields.
- Strong knowledge of probabilistic methods and statistical concepts including probability distributions, nonlinear regressions, or similar
- Excellent programming skills in any of MATLAB, R, Python, Java, C , C#, or similar
- Experience in working with large datasets, database manipulation using R, SQL, or similar
- Expertise with geospatial analysis tools, e.g. ArcGIS, QGIS
- Post-doc research or Engineering-design experience preferred
- Familiarity in CAT modeling, risk assessment, portfolio management a plus
- Ability to work independently as well as in a team environment: We’re looking for a team player with a high degree of self-motivation
- Strong time management skills: The ability and willingness to work on multiple projects simultaneously
- Detail-oriented, and strong analytical skills
- Excellent written and oral communication as evidenced by technical presentations at conferences and publications in peer-reviewed journals.
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