The Catastrophe Modeling Analyst quantifies catastrophe risk on Arch Res inward reinsurance contracts analyzing client exposure and model outputs in thirdparty platforms researching catastrophe risk and producing clear exposure parallel the role leverages scalable datascience and machinelearning (e.g. similarity scoring clustering) to clean align and analyze large exposure datasets producing decisionready insights while fulfilling core catastrophe modeling duties
Responsibilities:
- Leverage third-party catastrophe models to obtain estimates of catastrophe risk of Arch Res cedents.
- Justify and explain the CAT model outputs and ensure that they are reasonable and correct.
- Generate other reports to give a complete picture of the cedents catastrophe exposure.
- Handle with minimal supervision the cat pricing of reinsurance submissions.
- Apply machinelearning methods (e.g. similarity scoring and clustering) to clean align and analyze large exposure datasetsproducing reliable decisionready insights.
- Produce concise analytics artifactswritten reports/summaries interactive dashboards (e.g. Power BI etc.) and reproducible notebooks (Python/R).
Qualifications :
- Demonstrated analytical proficiency: intermediate Excel and practical experience with Python and/or SQL (R optional) for data preparation analysis and automation.
- Excellent attention to detail and organizational skills.
- Strong interpersonal and communication skills.
- Ability to produce clear concise written reports/summaries and dashboards (e.g. Power BI etc.) for nontechnical stakeholders.
- Interest in learning about reinsurance and catastrophe modeling.
- Ready to work outside of normal office hours during peak season including evenings weekends and public holidays as necessary.
- Basic knowledge of insurance and/or reinsurance terminology.
- Flexible with changing requirements and ability to learn new processes quickly.
- Experience working with large complex datasets and applying ML techniques to support data quality alignment and analytic insight generation is expected.
- Familiarity with data visualization tools (e.g. Power BI etc.) is nicetohave; exposure to data engineering (ETL pipelines warehousing) and process/report automation is beneficial.
Additional Information :
- Graduate of any quantitative course preferably in Mathematics Actuarial Science Computer Science Information Technology Physical Sciences or Engineering.
Remote Work :
Yes
Employment Type :
Full-time
The Catastrophe Modeling Analyst quantifies catastrophe risk on Arch Res inward reinsurance contracts analyzing client exposure and model outputs in thirdparty platforms researching catastrophe risk and producing clear exposure parallel the role leverages scalable datascience and machinelearning (e...
The Catastrophe Modeling Analyst quantifies catastrophe risk on Arch Res inward reinsurance contracts analyzing client exposure and model outputs in thirdparty platforms researching catastrophe risk and producing clear exposure parallel the role leverages scalable datascience and machinelearning (e.g. similarity scoring clustering) to clean align and analyze large exposure datasets producing decisionready insights while fulfilling core catastrophe modeling duties
Responsibilities:
- Leverage third-party catastrophe models to obtain estimates of catastrophe risk of Arch Res cedents.
- Justify and explain the CAT model outputs and ensure that they are reasonable and correct.
- Generate other reports to give a complete picture of the cedents catastrophe exposure.
- Handle with minimal supervision the cat pricing of reinsurance submissions.
- Apply machinelearning methods (e.g. similarity scoring and clustering) to clean align and analyze large exposure datasetsproducing reliable decisionready insights.
- Produce concise analytics artifactswritten reports/summaries interactive dashboards (e.g. Power BI etc.) and reproducible notebooks (Python/R).
Qualifications :
- Demonstrated analytical proficiency: intermediate Excel and practical experience with Python and/or SQL (R optional) for data preparation analysis and automation.
- Excellent attention to detail and organizational skills.
- Strong interpersonal and communication skills.
- Ability to produce clear concise written reports/summaries and dashboards (e.g. Power BI etc.) for nontechnical stakeholders.
- Interest in learning about reinsurance and catastrophe modeling.
- Ready to work outside of normal office hours during peak season including evenings weekends and public holidays as necessary.
- Basic knowledge of insurance and/or reinsurance terminology.
- Flexible with changing requirements and ability to learn new processes quickly.
- Experience working with large complex datasets and applying ML techniques to support data quality alignment and analytic insight generation is expected.
- Familiarity with data visualization tools (e.g. Power BI etc.) is nicetohave; exposure to data engineering (ETL pipelines warehousing) and process/report automation is beneficial.
Additional Information :
- Graduate of any quantitative course preferably in Mathematics Actuarial Science Computer Science Information Technology Physical Sciences or Engineering.
Remote Work :
Yes
Employment Type :
Full-time
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