Role resume review
Resume feedback designed for Health Actuaries.
Upload your resume, share your target direction, and get focused improvements backed by your own experience details.
Role-specific resume signal
See how your resume reads for Health Actuary hiring workflows.
How it works
Step 1
Upload your resume
Start from your current draft and role target for Health Actuary.
Step 2
Get role-specific feedback
We flag clarity, impact, and fit gaps based on role expectations.
Step 3
Apply suggestions quickly
Use rewrite guidance to tighten bullets and improve relevance fast.
Example Health Actuary resume and feedback
Jordan Lee
Chicago, IL | jordan.lee@email.com | (312) 555-0147 | linkedin.com/in/jordanlee-actuary
Health Actuary - Resume Example (Intentionally Imperfect)
- Health Actuarial Analyst, NorthLake Health Plan (2022-Present): Built pricing models for ACA small group products and helped improve rate adequacy through better assumptions.
- Supported Medicare Advantage monthly IBNR and reserve reviews; compiled exhibits for finance and helped explain drivers of reserve movement to leadership.
- Pulled and cleaned medical and pharmacy claims data using SQL and SAS; automated recurring reports and reduced turnaround time significantly.
- Developed a GLM to analyze utilization trends and identify key cost drivers; shared findings with underwriting and network teams.
- Partnered cross-functionally with product, underwriting, and finance to prepare filings and respond to ad-hoc questions during busy season.
- Education/Skills: B.S. Mathematics, University of Illinois (2022). Actuarial exams: Passed P and FM; planning next exam. Tools: Excel, SQL, SAS, R; basic Python.
Overview
- Add clear scope and outcomes (premium, members, PMPM, reserve dollars) to make impact credible.
- Specify methods, deliverables, and your ownership level (built vs supported vs assisted).
- Tighten generic phrasing and replace with concrete, actuarial-relevant results and artifacts.
Suggestions
Rewrite to include book size, timeline, and measurable pricing output. Example: "Built ACA small group pricing model for 25k members / $180M annual premium; refreshed morbidity, trend, and risk adjustment assumptions; supported 2024 rate submission achieving +2.1% indicated vs prior model."
The current bullet implies impact but does not show scale, what assumptions you changed, or how adequacy improved. Quantified scope + specific actuarial components makes the work credible and senior-ready.
Referenced resume text
"Built pricing models for ACA small group products and helped improve rate adequacy through better assumptions."
Replace "supported" language with explicit deliverables and dollars. Example: "Produced monthly MA IBNR (completion factor) and premium deficiency reserve analysis for 3 contracts; reconciled paid claims vs prior estimates; explained $4.3M MoM reserve movement drivers (utilization, seasonality, completion) to FP&A."
Reserve work is inherently quantitative; naming the methodology, contracts, and dollar movement demonstrates responsibility and technical strength.
Referenced resume text
"Supported Medicare Advantage monthly IBNR and reserve reviews; compiled exhibits for finance and helped explain drivers of reserve movement to leadership."
Quantify the automation and name the specific process. Example: "Automated SQL/SAS ETL for monthly claims triangle and completion-factor inputs; cut refresh time from 2 days to 4 hours and reduced manual adjustments by ~30%."
"Significantly" is subjective; concrete before/after metrics and the exact artifact (triangles, ETL, inputs) make the improvement verifiable and relevant to actuarial workflows.
Referenced resume text
"automated recurring reports and reduced turnaround time significantly."
Add model performance metrics and how it influenced decisions. Example: "Built utilization GLM (Poisson/NegBin) with demographic, benefit, and provider features; improved out-of-sample deviance by 12% vs baseline; informed 2025 trend selection and identified top 3 service categories driving +$1.80 PMPM."
A GLM bullet should show model type, validation approach, and decision impact (trend selection, PMPM drivers, pricing/reserving implications). Without this, it reads like exploratory analysis.
Referenced resume text
"Developed a GLM to analyze utilization trends and identify key cost drivers; shared findings with underwriting and network teams."
Why this helps for Health Actuary
Align to role expectations
Prioritize outcomes and scope signals that matter in Actuaries hiring.
Reduce weak bullets
Convert generic responsibilities into specific, measurable impact statements.
Ship stronger applications
Apply focused edits quickly before your next application cycle.
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