
Chief Risk Mitigator
1 day ago
This is an exciting opportunity to leverage your analytical skills in the field of parametric insurance.
As a Parametric Insurance Actuary, you will play a crucial role in designing and implementing innovative insurance solutions based on satellite and climate data.
Key Responsibilities:- Develop mathematical models to predict climate-related events and assess their financial impacts.
- Collaborate with data scientists and geospatial experts to integrate satellite imagery into actuarial models.
- Evaluate and minimize basis risk in parametric insurance solutions.
- Prepare presentations and reports explaining findings to stakeholders, including clients and management.
- Work closely with underwriters and claims teams to ensure the successful implementation of parametric insurance products.
Required Qualifications:
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field.
- Associate or Fellow designation from a recognized actuarial society (e.g., SOA, CAS).
- 5+ years of experience in actuarial work, preferably in property and casualty insurance.
- Strong analytical and problem-solving skills.
- Proficiency in statistical analysis and modeling software (e.g., R, Python, SAS).
- Experience working with geospatial data and GIS software.
Preferred Qualifications:
- Advanced degree in Climate Science, Remote Sensing, or a related field.
- Experience with machine learning and artificial intelligence applications in insurance.
- Familiarity with satellite data sources and processing techniques.
Key Competencies:
- High level of numeracy and strong mathematical skills.
- Analytical thinking and creative problem-solving abilities.
- Excellent IT skills, particularly in statistical software and databases.
- Strong business acumen and a genuine interest in the insurance industry.
Why This Role Matters:
This role offers the opportunity to make a meaningful impact in the insurance industry by developing innovative solutions that address the complexities of climate-related risks.
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