Job Description
ABOUT THE ROLE
As a Senior Actuarial Analyst in the Arium group, part of the Verisk Extreme Event Solutions division, you will support the development of the insurance industry’s leading liability catastrophe modeling solution for the global insurance and reinsurance market.
The Arium models quantify the systemic and emerging liability risks that can lead to significant aggregations and clash risks across portfolios, ranging from climate change to recessions to chemical exposures and across major commercial liability lines, including commercial general liability and professional / management liability lines.
Your actuarial, modeling, and (re)insurance knowledge will have a direct impact on model development and support this fast-growth space in the liability industry.
This role is part of the Arium research and analytics team, and will be based out of the Verisk headquarters in Jersey City, USA.
ABOUT THE DAY TO DAY RESPONSIBILITIES OF THE ROLE
- Apply actuarial and predictive modeling techniques to enhance the Arium model, such as developing new trending methodologies, and modeling settlements on pending cases
- Act as the go-to expert for actuarial insights and approaches for commercial liability lines of business, including technical peer review of models and model components
- Support alignment of Arium modeling methodologies with the best-in-class approaches and insurance industry expectations
- Support Arium client services through responses to relevant client inquiries and presentations to clients, as needed, including insurers, reinsurers, and brokers
- Collaborate closely with other business units and experts across Verisk, including other catastrophe modeling and research teams in Extreme Event Solutions and actuarial, coverage, and emerging issues research departments within Verisk Underwriting Solutions
Qualifications
- Bachelor's Degree in Mathematics, Economics, Statistics, or other related majors
- Associate of the CAS (ACAS) or near-ACAS with 5+ Casualty Actuarial Society exams passed
- Minimum of 5 years industry experience preferred
- Experience in pricing, reserving, and / or modeling for multiple commercial liability lines, including commercial general liability and professional lines
- Catastrophe (CAT) modeling experience would be a plus
- Proficiency in Microsoft Excel
- Experience with data cleaning and pre-processing
- Experience in predictive modeling and machine learning using Python or R
- Strong interest in modeling and data science applications in insurance and risk management
- Familiarity with SQL would be a plus, as would familiarity with GitHub and Bitbucket, but not required
- Ability to work independently and as part of a team
- Strong interpersonal, oral, and written communication skills, including presentation skills
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