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Actuary Resume Example

This Actuary resume example shows how to present exam progress, actuarial models, insurance analysis, and measurable business results. Use a single-column format so an ATS can read your credentials, technical tools, and experience clearly.

Maya Rodriguez

Actuary

[email protected]+1 (860) 555-0187Hartford, CTlinkedin.com/in/mayarodriguez-actuary

Actuary with 6 years of property and casualty experience in commercial auto and workers' compensation pricing, reserving, and portfolio analysis. Associate of the Casualty Actuarial Society with strong SQL, R, Excel, and actuarial modeling skills.

Professional Experience

Actuary, Commercial Lines

HarborPoint Insurance Group

2022 – Present

  • Improved commercial auto indicated rate analysis by incorporating updated severity trends and territorial segmentation, supporting a 4.2% underwriting profit improvement across a $185M book.
  • Reduced quarterly reserving cycle time from 15 business days to 9 by automating triangle preparation and validation in SQL and R.
  • Built a frequency-severity pricing model for small fleet accounts that improved loss ratio projection accuracy from 78% to 89% against subsequent actuals.

Actuarial Analyst

Granite Mutual Insurance

2019 – 2022

  • Prepared quarterly loss development triangles and IBNR selections for workers' compensation and general liability claims totaling $96M in reserves.
  • Reworked rate indication files in Excel and R, reducing manual data preparation by 30 hours per filing and improving review traceability.
  • Analyzed claim frequency, severity, retention, and territorial trends that supported a 3.1% average rate change across five commercial products.

Projects

Commercial Auto Loss Ratio Monitor

Created an R and SQL dashboard that tracked accident-year loss ratios, claim counts, severity, and development by state, vehicle class, and policy year, cutting monthly portfolio review preparation from three days to one.

Skills

RSQLAdvanced ExcelLoss ReservingRate IndicationPredictive ModelingInsurance Data Analysis

Education

  • B.S. in Mathematics, University of Connecticut, 2019

Certifications

  • Associate of the Casualty Actuarial Society (ACAS)
  • Member of the American Academy of Actuaries (MAAA)

How to Format Your Actuary Resume

An Actuary resume should make your credential path, insurance line expertise, and modeling tools easy to find. Use a text-based layout with standard headings and quantified analytical results.

Key Formatting Guidelines

  • Use a single-column, text-based layout with headings such as Summary, Experience, Projects, Skills, Education, and Certifications.
  • Place your actuarial credential and exam progress near the top, including ACAS, FCAS, ASA, FSA, or completed SOA and CAS exams where applicable.
  • Name the insurance functions you know, such as pricing, reserving, rate indications, loss development, catastrophe modeling, or capital modeling.
  • List technical tools used in actuarial work, including R, Python, SQL, SAS, Excel, Power BI, Prophet, MoSes, or ResQ when they match your experience.
  • Keep dates, job titles, credential names, and exam details in plain text so ATS keyword matching can read them without relying on graphics or tables.

Actuary Resume Writing Tips

Actuarial hiring managers look for sound judgment, technical accuracy, and business context. Show the line of business, analysis performed, tools used, and decision your work supported.

Content Optimization Tips

  • State whether your work covers property and casualty, life, health, retirement, or another actuarial practice area.
  • Connect each analysis to an outcome such as a rate filing, reserve recommendation, capital decision, underwriting action, or portfolio review.
  • Use actuarial measures that fit the role, including loss ratio, combined ratio, frequency, severity, IBNR, development factors, premium, reserves, or rate indication.
  • Describe your exam progress precisely. Separate completed exams, modules, VEEs, and credentials instead of labeling an exam as a certification.
  • Mention model validation, data controls, peer review, and documentation when you have performed them; these show that others can rely on your results.

Do's

  • Lead bullets with verbs such as priced, forecasted, validated, modeled, analyzed, or automated.
  • Quantify premium, reserves, rate indications, cycle time, portfolio size, or model improvement when you can support the figure.
  • Match your keywords to the posting's actuarial track, insurance line, software, and credential requirements.

Don'ts

  • Do not list actuarial exams as passed unless you have completed them.
  • Do not describe technical work without naming the data, model, insurance problem, or business decision involved.
  • Do not hide your credential or exam progress in a graphic, sidebar, or image that an ATS may not parse.

Common Actuary Resume Mistakes

Small details matter in actuarial hiring. Avoid vague modeling claims and make your credential path easy to verify.

Mistakes to Avoid

  • Listing generic terms such as “data analysis” without naming pricing, reserving, claims, capital, or another actuarial function.
  • Calling an Excel report a predictive model without describing the variables, validation, or decision it supported.
  • Omitting the insurance line, product type, geography, or policy population behind your analysis.
  • Combining passed exams, sitting dates, and planned exams into one unclear certification entry.
  • Using charts, text boxes, or multi-column formatting that can separate tools, credentials, and dates when an ATS parses the resume.

Actuary Salary Information

Actuary pay varies with credential level, practice area, location, management scope, and insurance or consulting employer.

Expected range: $80,000 – $180,000

  • Entry-level candidates with a few passed exams usually fall toward the lower end of the range, while credentialed actuaries and managers generally command more.
  • P&C, life, health, consulting, and enterprise risk roles can have different pay structures and bonus opportunities.
  • FCAS and FSA credentials, specialized modeling experience, and ownership of filings, reserving, or capital work can support higher base pay.
  • Compare the full offer, including bonus, retirement contributions, exam support, study time, and professional dues.

Actuary Skill Requirements

Education and Qualifications

  • Bachelor's degree in actuarial science, mathematics, statistics, economics, finance, or a related quantitative field.
  • Coursework in probability, statistics, calculus, financial mathematics, and data analysis is useful for actuarial exam preparation and daily work.

Experience

  • Experience with pricing, reserving, loss development, claims analysis, underwriting analytics, capital modeling, or benefits valuation.
  • Ability to explain assumptions, limitations, and recommendations to underwriters, finance leaders, claims teams, regulators, or clients.
  • For senior roles, experience reviewing models, leading rate filings, selecting reserves, mentoring analysts, or presenting to executives.

Certifications

  • Actuarial exam progress through the Society of Actuaries (SOA) or Casualty Actuarial Society (CAS).
  • Relevant credentials include Associate or Fellow of the Society of Actuaries (ASA or FSA), Associate or Fellow of the Casualty Actuarial Society (ACAS or FCAS), and Member of the American Academy of Actuaries (MAAA).

Technical Skills

  • Advanced Excel, SQL, and at least one analytical language such as R, Python, or SAS.
  • Loss development triangles, chain-ladder methods, Bornhuetter-Ferguson, frequency-severity analysis, credibility, rate indications, and experience studies for applicable insurance work.
  • Actuarial software such as Prophet, MoSes, ResQ, Igloo, or Arius when required by the practice area.
  • Data visualization and reporting tools such as Power BI or Tableau, plus version control and reproducible model documentation.

Soft Skills

  • Precise written communication about assumptions, uncertainty, and model limitations.
  • Clear presentation skills for explaining technical results to non-actuaries.
  • Careful review habits, professional skepticism, and sound judgment when data is incomplete or inconsistent.
  • Collaboration with underwriting, claims, finance, product, compliance, and data engineering teams.

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