It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
Summary & Key Responsibilities
This position will perform calculations and summarizations of data in order to develop such things as trend factors, rate-making, pricing reviews, effective loss experience, loss trends, rate adequacy, catastrophe modeling, reserving, reinsurance etc. The actuarial analyst will develop of an understanding of insurance coverages, actuarial principles and techniques, and rating methods. Works under general guidance to execute routine activities by extracting data from various systems to combine and provide meaningful and actionable reports.
Acquires and applies developing knowledge of the business, its products and processes.
Compile and verify the accuracy of exposure data for pricing or reserving analysis, modeling and/or modeling for catastrophe risk management purposes, and making recommendations.
Create and distribute various reports on competitive position of the company.
Assist other actuaries and product management in developing rate indications, rate evaluations, reinsurance submissions, rate filings, cat modeling etc.
Develop statistical support to answer business questions.
Continues to develop in knowledge of actuarial science/methodologies via work assignments and through study for the ACAS exams.
Assist with other duties on request.
Minimum Experience / Education:
A college degree in Actuarial Science, Mathematics, Statistics, or other related field.
Completion of at least one exam in the SOA or CAS series of actuarial exams is very beneficial, along with a desire to pursue Associateship or Fellowship by continuing with the CAS exams.
One year of Property and Casualty experience is desirable though strong entry level candidates will be considered.
A working knowledge of SAS or SQL is preferred.
Communication and Collaboration Skills:
Strong written and oral communication skills to relate complex technical concepts to a variety of audiences.
Ability to create effective data visualizations and presentations.
Interpersonal skills, and inclination to collaborate directly with business partners in various functions across the enterprise.
Thorough knowledge of mathematics.
Ability to learn statistical modeling and data mining software (e.g. R, SAS).
Ability to develop complex data queries and analytic routines using programming languages (e.g., SQL).
Ability to learn to run AIR catastrophe models.
Listening and collaboration skills are needed to effectively understand and address issues.
Full Time / Part Time
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!