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Natural Catastrophe Risk Modeller / Quantitative Analyst(m/w/x)
Analyzing reinsurance and cat bond submissions for insurance-linked strategies portfolios using catastrophe risk models. 3+ years in property cat reinsurance risk modeling with vendor software (Verisk, Moody’s) required. Work-from-home options, flexible hours, home office allowance.
Requirements
- University degree or equivalent in Engineering, Mathematics, Actuarial Science, Physics, or Natural Sciences
- At least 3 years work experience in natural catastrophe risk modelling of property cat reinsurance contracts
- In-depth experience using at least one vendor catastrophe risk model and software (Verisk, Moody’s)
- Desirable knowledge about Moody’s EDM, RDM and Verisk database schemas
- Basic SQL experience (MS SQL Server)
- Preferred programming skills (R, Python, C#)
- Preferred foundational knowledge of cloud and API technologies
- Advantageous experience with geospatial data analysis and processing, and/or skilled in GIS software (QGIS or ArcGIS)
- Demonstrated integrity and adherence to ethical standards
- Self-driven and reliable
- Proven track record of delivering high-quality work autonomously and as part of a team
Tasks
- Analyze reinsurance and cat bond submissions using catastrophe risk models
- Analyze LGT ILS portfolios for risk metrics
- Prepare monthly reports on key risk metrics
- Perform exposure aggregation and accumulation
- Perform loss impact assessments for live cat events
- Apply catastrophe risk models and GIS software
- Validate models for key catastrophe peril-zones
- Conduct research into innovative risk modeling applications
- Review updates of third-party catastrophe risk models
- Assess updates of third-party catastrophe risk models
- Document updates of third-party catastrophe risk models
- Support marketing activities for product offerings
- Participate in meetings with brokers and insurance counterparties
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Verisk
- Moody’s
- Moody’s EDM
- RDM
- Verisk database schemas
- SQL
- MS SQL Server
- R
- Python
- C#
- Cloud technologies
- API technologies
- QGIS
- ArcGIS
Benefits
Flexible Working
- Work-from-home options
- Flexible hours
Additional Allowances
- Home office allowance
Learning & Development
- Professional development
- Training opportunities
- Language skill enhancement
Mentorship & Coaching
- Personal growth
Competitive Pay
- Investment program participation
Other Benefits
- LGT banking products and services
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Natural Catastrophe Risk Modeller / Quantitative Analyst(m/w/x)
Analyzing reinsurance and cat bond submissions for insurance-linked strategies portfolios using catastrophe risk models. 3+ years in property cat reinsurance risk modeling with vendor software (Verisk, Moody’s) required. Work-from-home options, flexible hours, home office allowance.
Requirements
- University degree or equivalent in Engineering, Mathematics, Actuarial Science, Physics, or Natural Sciences
- At least 3 years work experience in natural catastrophe risk modelling of property cat reinsurance contracts
- In-depth experience using at least one vendor catastrophe risk model and software (Verisk, Moody’s)
- Desirable knowledge about Moody’s EDM, RDM and Verisk database schemas
- Basic SQL experience (MS SQL Server)
- Preferred programming skills (R, Python, C#)
- Preferred foundational knowledge of cloud and API technologies
- Advantageous experience with geospatial data analysis and processing, and/or skilled in GIS software (QGIS or ArcGIS)
- Demonstrated integrity and adherence to ethical standards
- Self-driven and reliable
- Proven track record of delivering high-quality work autonomously and as part of a team
Tasks
- Analyze reinsurance and cat bond submissions using catastrophe risk models
- Analyze LGT ILS portfolios for risk metrics
- Prepare monthly reports on key risk metrics
- Perform exposure aggregation and accumulation
- Perform loss impact assessments for live cat events
- Apply catastrophe risk models and GIS software
- Validate models for key catastrophe peril-zones
- Conduct research into innovative risk modeling applications
- Review updates of third-party catastrophe risk models
- Assess updates of third-party catastrophe risk models
- Document updates of third-party catastrophe risk models
- Support marketing activities for product offerings
- Participate in meetings with brokers and insurance counterparties
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Verisk
- Moody’s
- Moody’s EDM
- RDM
- Verisk database schemas
- SQL
- MS SQL Server
- R
- Python
- C#
- Cloud technologies
- API technologies
- QGIS
- ArcGIS
Benefits
Flexible Working
- Work-from-home options
- Flexible hours
Additional Allowances
- Home office allowance
Learning & Development
- Professional development
- Training opportunities
- Language skill enhancement
Mentorship & Coaching
- Personal growth
Competitive Pay
- Investment program participation
Other Benefits
- LGT banking products and services
About the Company
LGT ILS Partners AG
Industry
FinancialServices
Description
LGT ILS Partners is a leading investment manager in Insurance-linked Strategies (ILS), part of LGT Capital Partners, a global specialist in alternative investing.
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