CAT Risk Modeler
3500 Lenox Rd. NE. (One Alliance Center) Atlanta, GA 30326
CAT Risk Modeler
The Catastrophe Strategy & Analysis group is seeking a CAT Risk Modeler to join our Strategic Research and Analytics team. You will be joining a group of dedicated professionals charged with leading us to be in a position to endure catastrophic loss from natural and man-made perils.
The Team is responsible for state-of-the-art analytics using cutting-edge tools, quantitative methods, and technologies to assess risk from natural perils (e.g. hurricanes, earthquakes, tornadoes, wildfires, flood etc.) and man-made perils including terrorism and cyber risk. We engage in complex multi-disciplinary catastrophe research projects with various depths of focus.
We are seeking a candidate with a solid analytical base and a keen interest in research and development. The position requires an individual who can succeed in a collaborative, innovation-driven environment, in tune with business needs and deadlines. Primary responsibilities include:
- Research and analysis of complex problems where models may not be available.
- Ability to manage projects independently, engage stakeholders and provide recommendations.
- Stay abreast of scientific research and be able to synthesize academic papers.
- Collaborate with internal and external parties to develop analytical solutions for business needs.
- Catastrophe model evaluation, sensitivity testing, calibration and validation.
- Evaluate and recommend modeling tools for implementation in business processes.
- Develop tools and features to bring latest peril research/models into production.
- Communicate findings and recommendations to business partners.
- 2 years + relevant analytics experience required.
- Domain knowledge of primary P&C insurance market, a basic understanding of CAT modeling concepts and vendor CAT models (AIR & RMS). CAT model certification is a plus.
- Solid analytical and research skills dealing with issues that are not readily defined.
- Knowledge of SQL and/or MS Access and advanced Excel (preferably with VBA).
- Programming language and/or R/Matlab/SAS/Python analytic packages strongly preferred.
- Self-motivated with ability to self-organize and drive analyses independently.
- Strong communication and ability to convey technical concepts across professional fields of discipline.
- Experience with geospatial or Big Data technologies a plus.
- Intermediate knowledge and understanding of Catastrophe Risk Modeling components.
- Intermediate understanding of model output and metrics.
Education, Work Experience & Knowledge
- Undergraduate or graduate degree in a quantitative discipline (Economics and Econometrics, Analytical Finance, Actuarial Science, Math, Statistics etc.).