Resume Example

Actuary Resume Example

Updated August 2026

ASA-credentialed actuary with five years of experience in pension valuation and asset-liability matching. I build and audit complex stochastic projection models using GGY AXIS, focusing on plan risk mitigation and regulatory solvency. Known for translating dry statistical distributions into clear, strategic risk assessments for corporate investment committees.

BusinessSalary: $112,000 – $158,000

What to Write on Your Actuary Resume

Use quantified achievement bullets instead of generic duties. Here are examples tailored for actuary roles:

  • 1Refactored legacy life insurance cash flow projection models in Prophet, reducing runtime by 35% while improving projection accuracy for a $1.4B block of business.
  • 2Led quarterly reserving using Bornhuetter-Ferguson and Chain Ladder methods for commercial auto line, reducing reserve variance from forecast to actuals to within 1.8%.
  • 3Developed a Python-based automation pipeline that parsed policyholder databases and loaded risk parameters into GGY AXIS, eliminating 14 hours of manual data entry per monthly valuation cycle.
  • 4Co-authored and submitted 12 state rate filings for a new homeowners insurance product, utilizing Emblem GLM modeling to optimize pricing margins by 4.2% while securing regulatory approval on first submission.

Top Skills for a Actuary Resume

Include these high-value keywords to pass ATS filters and catch recruiter attention:

GGY AXIS & Prophet ModelingIFRS 17 / US GAAP LDTIStochastic Projection ModelingLoss Reserving (Chain Ladder & BF)Asset-Liability Management (ALM)Generalized Linear Models (GLM)VBA & SQL Data ManipulationR & Python Statistical AnalysisSolvency II Regulatory Reporting

Actuary Resume Tips

Put your exam status at the very top. Actuarial hiring managers look for your credentials (ASA, FSA, ACAS, FCAS) and your next scheduled exam date before they read anything else. Create a dedicated 'Actuarial Exams' table right below your contact info.
Name-drop the exact modeling software you use. Whether it's GGY AXIS, Prophet, ResQ, or Emblem, put it in both your summary and your experience bullets. Actuarial teams rarely want to train a hire from scratch on a proprietary modeling platform.
Quantify the size of the books you managed. Don't just say you 'calculated reserves.' Say you 'calculated quarterly reserves for a $1.2B book of term-life policies.' Mentioning liability or asset size immediately establishes your scale of responsibility.
Detail your programming work on model automation. If you wrote a VBA script or an R function that shaved 6 hours off the monthly close process, describe it. Actuarial departments are always looking to eliminate manual data-copying errors.
Distinguish between pricing and valuation work. These are two different disciplines. If you are applying for a pricing role, emphasize rate-filings, GLM, and competitive analysis. If valuation, focus on reserving methodologies, financial reporting standards, and cash flow testing.

Best Resume Templates for Actuary

Frequently Asked Questions

Should I list failed actuarial exams on my resume?

Absolutely not. Only list the exams you have passed, along with your current credential status (like ASA or ACAS). If you are currently studying for an upcoming exam, list the exam name and your targeted sitting date (e.g., 'Sitting for Exam FAM in October 2026') to show active progress.

How do I format my actuarial exam progress on a resume?

Create a distinct table or bulleted section right at the top of your resume, before your professional experience. List the exam code, name, and passing year. Do not include your exam scores (a 6 passes just as well as a 10), and clearly state if you have VEE (Validation by Educational Experience) credits completed.

What programming languages are most valuable to feature on an actuary resume?

While Excel and VBA are still industry staples, modern actuarial teams prioritize SQL for data extraction, and R or Python for predictive modeling and GLMs. If you have built automation scripts or statistical packages in R or Python, specify the libraries you used, such as dplyr or pandas, to demonstrate real hands-on technical capability.

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