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Property Casualty Rate Modeling Actuary and Data Scientist
3 months ago
The National Association of Insurance Commissioners (NAIC) has an exciting opportunity for a Property/Casualty Rate Modeling Actuary & Data Scientist. We are looking for a team member who would enjoy working for an organization that strives every day to support the public good and make a difference. This is a full-time remote position within the United States that is based out of the Kansas City, Missouri office.
Responsibilities include:
Rate Filing Classification Plan Analysis:
- Supports state insurance regulators (as requested) in the technical analysis of an insurance company's justification for its proposed classification plan(s) in a rate filing.
- Documents technical reviews of classification plan model(s) included in an insurance company's rate filing.
- Actively participates in team peer reviews of work products.
- Expands modeling knowledge of modeling techniques.
- Recommends improvements to the review process, as needed.
- Provides back-up to 1) maintain the regulators' P/C Shared Model Database and 2) coordinate and assign projects via Microsoft Planner.
- Identifies technical or documentation issues in the rate filings and brings those to the attention of the rate model review team and staff support for the Casualty Actuarial and Statistical (C) Task Force.
- Develops and conducts training for state insurance regulatory staff analyzing models in rate filing reviews and market conduct exams.
- Assists the staff support for the Casualty Actuarial and Statistical (C) Task Force and team lead on the rate model review team to identify Predictive Analytics Book Club training opportunities.
- Applies sound actuarial principles; maintains actuarial qualifications; and adheres to the codes and standards as promulgated by the American Academy of Actuaries.
- Strong technical expertise in property/casualty rate classification and modeling is required.
- Knowledge of a variety of machine learning and other techniques (clustering, decision tree learning, artificial neural networks, GLMs, GAMs, etc.) and their real-world advantages/drawbacks and applications to insurance.
- Knowledge of advanced statistical techniques and concepts, properties of mathematical distributions, statistical tests and proper usage, and model validation techniques.
- Ability to explain complex actuarial concepts in terms understandable to non-actuaries and non-statisticians.
- Ability to effectively present information to top management, public groups, regulators and/or boards of directors.
- Five years of experience as a Qualified Actuary is preferred.
- Strong written and verbal communication skills.
- Proficiency with Microsoft Word, Excel, and PowerPoint. Proficiency with SAS or R is preferred.
- Detailed understanding of how property/casualty insurance is priced and what regulatory standards through law, regulation, or bulletin apply.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Science, Finance or similar degree from an accredited college or university; significant experience with property/casualty insurance rate data and model creation and analysis; and five years previous actuarial and/or data scientist experience in pricing/ratemaking, or equivalent combination of education and experience required.
- Fellowship in the Casualty Actuarial Society or Society of Actuaries (in the general insurance track) is required.
- Fellow of the Casualty Actuarial Society (FCAS), Fellow of the Society of Actuaries (FSA) through the general insurance track, statistician, data scientist, or Certified Specialist in Predictive Analytics (CSPA).
- Insurance regulatory experience of an actuarial nature.
Estimated travel is less than 25%. Typically, once per quarter. Additional travel may be required.
Compensation:
Salary offer range $142,382 up to $180,000, to be commensurate with education and experience.
Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for more information.
The NAIC is proud to be an Equal Opportunity Employer
Applicants for all positions are considered without regard to age, race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin or ancestry, marital status, pregnancy, genetic information, military or veteran status, disability, or any other basis protected by applicable law.
