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Assistant Actuary - Experience Studies

72% Flex
Remote: 
Full Remote
Contract: 
Salary: 
119 - 145K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Actuarial Science, Math or related field, ASA designation preferred.

Key responsabilities:

  • Lead preparation of experience studies and predictive models
  • Enhance predictive analytics capabilities
  • Produce data-driven insights on policyholder behavior
  • Monitor trends impacting product profitability
  • Implement process improvements and automation
Pacific Life logo
Pacific Life Financial Services XLarge https://www.pacificlife.com/
1001 - 5000 Employees
See more Pacific Life offers

Job description

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Your missions

Job Description:

Pacific Life is investing in bright, agile and diverse talent to contribute to our mission of innovating our business and creating a superior customer experience. We’re actively seeking a talented Assistant Actuary to join our Life Experience Studies team in Newport Beach CA or Omaha NE. This role can be on-site, hybrid, or 100% remote.


As an Assistant Actuary, you’ll play a key role in Pacific Life’s growth and long-term success by supporting the experience studies function, enhancing our predictive analytics capabilities throughout the product life cycle, and producing data-driven insights related to policyholder behavior. The job level will be determined based on level of experience and qualifications.
 

How you will make an impact:

  • Provide support and lead the preparation of experience studies for assumption setting. Look for ways to improve existing data processes in R, Python, Alteryx and Snowflake.
  • Prepare data and conduct analysis for experience studies and predictive models.
  • Run reports to answer management questions as necessary and provide line of sight into emerging experience on the books of business issued.
  • Work with model owners to understand how assumptions are reflected in the model and document appropriately.
  • Create and maintain Tableau dashboards to monitor actual vs expected for various life products.
  • Prepare data for participation in external industry studies to validate assumptions and benchmark against competitors.
  • Perform peer reviews for various experience studies.
  • Monitor and develop tools to track emerging trends that could impact profitability over the life of the product.
  • Implement process improvements, automation, and efficiencies where applicable.
  • Provide additional data/summaries in response to ad hoc requests from internal teams as it relates to divisional experience studies, external industry studies or dashboards.
  • Lead the preparation of experience studies for assumption setting (mostly Life insurance policyholder behavior-related assumptions).
  • Build strong relationships with key stakeholders to ensure assumption approval and successful implementation.
  • Summarize key insights from Tableau dashboards and report on emerging trends.
  • Work with external consultants to gather external industry data in order to validate assumptions and benchmark against competitors.
  • Implement process improvements, automation, and efficiencies where applicable.
  • Foster collaboration, manage expectations, and effectively communicate project updates, milestones, and risks.


The experience you will bring:

  • Bachelor’s degree in Actuarial Science, Mathematics, Computer Science, Data Science, other related fields
  • ASA designation preferred; will consider strong pre-ASA candidates.
  • Proficiency with SQL database language
  • Experience with statistical computing software (e.g. R, Python)
  • Experience working with large data sets (e.g., Alteryx, Snowflake) and data visualization software (e.g. Tableau)
  • Self-starter with ability to develop solutions by collaborating with multiple business partners. 
  • Ability to work independently and collaboratively as part of a team, and to manage long-term projects. 
  • Detail-oriented with excellent organizational and interpersonal skills.
  • Excellent analytical, problem-solving, and decision-making skills.

What will make you stand out:

  • 4+ years’ actuarial experience preferred
  • Working knowledge of life insurance products, experience studies, and predictive models

Base Pay Range:

The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$118,800.00 - $145,200.00

Your Benefits Start Day 1  
 

Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Analytical Thinking
  • Problem Solving
  • Interpersonal Skills
  • Detail-Oriented
  • Independent Work
  • Team Collaboration

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