Careers

Overview

Actuarial Statistician

State Farm's Property & Casualty Actuarial & Underwriting Modeling Department (PCM) is seeking Actuarial Statisticians with experience in utilizing predictive modeling techniques to produce advanced analytic solutions. We have a growing and evolving infrastructure of predictive models that support State Farm's insurance pricing and underwriting decisions. We are looking for innovative individuals who are self-starters and like being part of a team that develops and implements creative solutions. Working within the PCM Department, agile product teams have autonomy to drive outcomes that provide meaningful business value directly to our customers.

As a member of the P&C Actuarial & Underwriting Modeling community you will be challenged and empowered to grow professionally. We are dedicated to helping each of our associates develop to his or her full potential.

Office Locations : Bloomington, Atlanta, Dallas, Phoenix ( Flexible Hybrid working arrangement)

Responsibilities

A Day In The Life Of An Actuarial Statistician

• Develop and validate advanced analytic models
• Build datasets to support model development
• Collaborate with other team members on scoping solutions and project decision points
• Compile data exhibits to support filings to departments of insurance
• Present on technical topics to peers, leadership, and other stakeholders
• Communicate with business partners that require articulation of the work in non-technical terms
• Lead/mentor other statisticians and other technical work teams
• Perform advisory/consulting work for the organization, including specialized or innovative areas
• Work on complex problems of diverse scope where analysis of situations or data requires evaluation of intangible variance factors
• Establish and leverage a network of associates with business domain and data expertise by navigating the organization effectively
• Instill a business-oriented mindset that drives the science and research agenda

Qualifications

Success in this job requires:

• Must have passed at least two actuarial exams with the intent to continue on to earn ACAS or higher credential
• At least one year of industry experience building predictive models

Other recommended qualities for success:

• Programing background in SAS and/or Python with emphasis on techniques relevant to predictive modeling such as; data set development, cleaning, EDA, and utilizing modeling procedures.
• Experience with model feature creation, selection and value imputation.

Competencies:

• Critical Thinking
• Independent troubleshooting abilities
• Initiative
• Learning agility/desire to learn new tools
• Quality and Attention to Detail
• Teamwork
• Technical/Functional Expertise
• Ability to adapt quickly to changing timelines

What You Can Expect

Next Steps: Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

Incumbency: There is a 24-month incumbency period (beginning on the employee's effective date) for any lateral job movements and a 12 month incumbency period for any promotional opportunities, which must be met before the employee may post for other State Farm positions. The incumbency period does not affect the at-will relationship between State Farm and the employee and does not create an employment contract, nor contractual rights.

What's In It For You?

• Competitive Benefits, Pay and Bonus Potential: Who doesn't want money, right?
• Volunteer opportunities: Get involved and give back to the community!
• Continuing Education Support: We support opportunities for you to learn and grow!
• A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
• 401k Plan.
• We embrace Diversity and Inclusion: We are one team and it is simply the right thing to do!
• Learn more about our benefits at State Farm Careers!

Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.

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Apply Here

PI179501187