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Associate Actuary
3 months ago
Let’s do something that really matters.
At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members.
We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so specialThe Opportunity
The Opportunity
As a dedicated Associate Actuary within the P&C Data Science team, you will coordinate, prepare and perform advanced actuarial analyses required to develop new products, project future results, reprice existing products, and/or determine financial strength.
This position will be working on the Connected World Data Science team, utilizing auto and home telematics data to create models supporting the entire insurance value chain, from pricing to claims. Telematics is an area of focus for USAA, and we’re looking for an innovation-minded individual to create new applications from this data and provide actuarial support and insights.
This position can work remotely in the continental U.S. with occasional business travel or you can work out of the listed USAA locations: San Antonio, TX, Phoenix, AZ, or Colorado Springs, CO.
Relocation assistance is not available for this position.
What you'll do:- Establish appropriate statistical plans, analytical tools, and requirements for analyzing the experience of various products classification systems, rating plans, reserves, and catastrophes.
- Assist in setting pricing objectives by making forecasts and projections and developing strategies to support the company mission and goals in the areas of product development, pricing, catastrophe management, reinsurance, or reserving.
- Utilize actuarial modeling software driven models for pricing, valuation, and/or risk management to develop new products, project future results, reprice existing products, and/or determine financial strength. May make adjustments and improvements to models, when appropriate.
- Monitor competitive market, industry trends, and professional research to maintain knowledge of current activities related to products, regulation, market conditions, and innovative alternatives to achieve financial and market goals.
- Creatively approach problems and issues from a wide range of perspectives to determine innovative techniques.
- Champion and implement innovative solutions to business initiatives. Responsible for training team members on change/improvement.
- Exhibit advanced knowledge of actuarial and business concepts provide innovative solutions and creatively solve business problems.
- Represent USAA’s interest at industry level committee meetings. Provides data to other departments, useful for their management purposes, from actuarial data systems.
- Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
What you have:
- Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 4 years Actuarial/business/analytical experience + Associate of the Casualty Actuarial Society (ACAS).
- Experience in developing Innovative Actuarial Analyses/Processes.
- Experience in metric development/monitoring.
- Strong communication/presentation skills.
What sets you apart:
- Experience with Generalized Linear Models (GLMs): Demonstrated ability to build and interpret GLMs for various types of data and use cases, including but not limited to logistic regression, Poisson regression, and gamma regression.
- Proficiency in Tree-Based Models: Proven experience in developing and implementing tree-based models such as Decision Trees, Random Forests, and Gradient Boosting Machines.
- Knowledge of AWS
- Experience handling regulatory filings for pricing models.
- Working knowledge of data analytic tools and Python/R/SQL or other language.
- US military experience through military service or a military spouse/domestic partner
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
What we offer:
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $120,550.00 - $230,400.00.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.
Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
