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Allstate

Arity - Senior Actuarial Assistant (Rating)

Posted Yesterday
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Remote
Hiring Remotely in US
79K-142K Annually
Mid level
Remote
Hiring Remotely in US
79K-142K Annually
Mid level
In this role, you will lead projects to develop risk insights using actuarial standards, enhance insurance strategies, and collaborate with cross-functional teams to maximize customer value.
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At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

The Team
Our Analytics team is fueled by a passion to impact the future of mobility. We love to find the meaning within the 100s of billions of miles of driving data we collect each year. We push the boundaries of telematics and transportation by building data and machine learning solutions to power our groundbreaking products. The Actuarial & Rating Services team is responsible for defining, delivering, managing and supporting the use of all regulated risk insights associated with Arity’s growing product portfolio. The team works closely with data scientists, product owners, individual state Department of Insurance agencies, and insurance companies to create and deploy innovative insights that make transportation smarter, safer, and more useful for everyone. Our key customer audience is insurance carriers who will leverage subscription risk insights we bring to market to improve the value in their existing programs and/or create new solutions for consumer needs.
The Role
We are seeking a highly motivated Senior Actuarial Assistant for our Actuarial & Rating Services team. Become part of a team of world-class data scientists, actuaries and analysts dedicated to creating the best insurance telematics solutions in the market. You will be responsible for developing and leading projects in support of risk insights associated with Arity’s product portfolio utilizing accepted actuarial and statistical standards and methodologies as well a knowledge gained through on the job training. This role collaborates with product owners and data scientists to develop appropriate product strategies of moderate complexity to support business goals and maximize the customer value. As a member of the Actuarial & Rating Services team, you will also work closely with external customers and regulators, filing support for our risk insights and providing tailored recommendations for the use of Arity’s risk insights. You will also help shape and grow our culture we have worked hard to establish – promoting recognition of good work, continuous learning, winning together, and having fun along the way.

Responsibilities

  • Uses best practices to determine appropriate analysis and performs moderate to highly complex analysis, using creative actuarial, statistical and/or predictive modeling techniques, including proper documentation and evaluation, as appropriate to inform business decisions

  • Leverages understanding of insurance business, products, markets and regulatory environments in the creation of business strategies and decisions, building expertise within a specialized area

  • Responsible for selecting, reviewing, using and ensuring quality of data used to perform actuarial and statistical services and determination of appropriate tool utilization

  • Communicates appropriateness of actuarial/modeling techniques and results to management and non-technical users to inform business decisions

  • Plans, implements, manages, and/or contributes on projects that are moderate to high complex and are of moderate scale using accepted project management standards, this work is primarily self-directed

  • Provides thought and/or technical leadership, including contributions to improvement, development and innovation, and sometimes serves as a subject matter expert

Qualifications

  • Aptitude for product-focused actuarial support in a fast-paced environment

  • Degree in related field of study such as actuarial science, math/applied math, statistics/applied statistics, data science

  • 3 or more years of industry experience in actuarial, data science or related roles preferred with property and casualty insurance pricing or modeling experience  

  • Pursuit or achievement of ACAS/FCAS designation

  • Advanced product, price, risk management and insurance regulation knowledge, including professional standards of actuarial/statistical techniques

  • Advanced project management skills to independently handle multiple project of high complexity

  • Aptitude for manipulating large, complex data sets

  • Solid understanding of principles of predictive analytics and experience leading the evaluation and application of predictive models to generate measurable business value

What’s in it for you?

  • Generous PTO, and plenty of holidays. Take the time you need to refresh.

  • Medical, Dental, & Vision.

  • 401k with match, plus a pension.

  • All jobs at Arity are remote.  You want to work from a Florida beach for the summer? We’re all adults – go for it.

That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. It’s a culture that encourages you to be you.

Sound like a fit? Apply now! We can’t wait to meet you.

#LI-JB1

Skills

Analytics, Business Case Analyses, Client Counseling, Cross-Functional Teamwork, Data Analytics, Financial Analysis, Systems Thinking

Compensation

Compensation offered for this role is $78,600.00 - 142,275.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Top Skills

Data Science
Machine Learning
Predictive Analytics

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