精算師履歷範例與撰寫指南

美國勞工統計局(BLS)預估,2024 年至 2034 年間精算師就業成長率將達 22%——約為所有職業平均水準的六倍——在現有的 33,600 個職位基礎上,每年約有 2,400 個職缺。儘管需求強勁,DW Simpson 的 2026 年招聘分析報告指出,雇主的挑選標準明顯更嚴格:入門級候選人現在必須通過兩到三門考試、具備實習經驗與實證的程式設計能力,才能取得面試機會。同時,2024 年 Actuarial Careers 薪資調查顯示平均總薪酬為 $213,203(基本薪資加獎金),而精算師的失業率已連續十年以上低於 1%。在這個單一認證行或缺少某個關鍵字就能區別兩位條件相當候選人的專業領域,你的履歷決定了你是能接觸到用人主管,還是消失在申請者追蹤系統中。本指南提供三份完整的履歷範例——入門級、中階 ASA/ACAS,以及資深 FSA/FCAS——並附上 2026 年精算招聘人員與 ATS 平台最重視的關鍵字、格式決策與內容策略。

目錄

1. 為什麼精算師這個角色很重要
2. 入門級精算師履歷範例
3. 中階精算師履歷範例
4. 資深精算師履歷範例
5. 關鍵技能與 ATS 關鍵字
6. 專業摘要範例
7. 常見履歷錯誤
8. ATS 優化技巧
9. 常見問題
10. 引用與來源

為什麼精算師這個角色很重要

精算師處於數學、商業策略與法規遵循的交匯點。在保險業,他們是決定一張保單應收多少保費、公司是否持有足夠準備金以支付未來理賠、以及數百萬名保戶投資組合風險樣貌的專業人員。沒有精算分析,保險公司無法向州監管機構提交費率、無法在資產負債表上設定損失準備金,也無法定價保護災難性損失的再保合約。 精算工作的範圍早已超越傳統的人壽與財產/意外險定價。根據 DW Simpson 的 2026 年市場趨勢報告,雇主如今積極尋找具備網路安全風險建模、氣候風險評估、企業風險管理(ERM)與 AI 模型治理技能的精算師。Casualty Actuarial Society 與 Society of Actuaries 都更新了考試大綱,以反映預測分析、機器學習與資料工程在日常精算實務中日益重要的地位。 從薪酬角度來看,精算師仍然是收入最高的 STEM 專業人員之一。BLS 回報年薪中位數為 $125,770,最低 10% 收入低於 $75,240,最高 10% 超過 $206,430。具 10 年經驗的財產與意外險精算師平均總薪酬為 $236,000,同年資的人壽保險精算師則平均為 $226,000。顧問型精算師的收入通常高於保險公司內的同儕,不過保險公司的職位通常提供更好的工作生活平衡。 鑑於這個專業的技術嚴謹度與法規重要性,你的履歷必須清楚展現三件事:考試進度與證照、量化的業務影響,以及對現代精算部門所使用的特定工具與方法的熟練度。

入門級精算師履歷範例

**SARAH CHEN** Chicago, IL 60601 | (312) 555-0142 | [email protected] | linkedin.com/in/sarahchen-actuary

Professional Summary

Actuarial analyst with 3 passed SOA exams (P, FM, FAM) and a B.S. in Actuarial Science, seeking an entry-level pricing or reserving role in property and casualty insurance. Completed a 12-week actuarial internship at a top-20 P&C carrier where I built loss development triangle models that reduced IBNR estimation variance by 8%. Proficient in R, Python, SQL, and Excel VBA with hands-on experience analyzing portfolios exceeding $400M in written premium.

Education

**B.S. Actuarial Science, Minor in Computer Science** University of Illinois at Urbana-Champaign — May 2025 | GPA: 3.78/4.00

Actuarial Exams & Credentials

• SOA Exam P (Probability) — Passed July 2023
• SOA Exam FM (Financial Mathematics) — Passed November 2023
• SOA Exam FAM (Fundamentals of Actuarial Mathematics) — Passed April 2024
• VEE Credits: Economics, Accounting & Finance, Applied Statistics — Complete

Professional Experience

**Actuarial Intern — Midwest Property & Casualty Insurance Co., Chicago, IL** *June 2024 – August 2024*

• Constructed loss development triangles for 6 commercial auto liability segments covering $180M in earned premium, reducing IBNR estimation variance by 8% through improved tail factor selection
• Automated monthly rate monitoring dashboards in R Shiny for a $420M personal lines book, cutting report preparation time from 14 hours to 2.5 hours per cycle
• Analyzed 3 years of claims data (47,000+ records) using SQL and Python to identify frequency and severity trends, supporting a 4.2% rate revision filed with the Illinois Department of Insurance
• Built a generalized linear model (GLM) in R using the tweedie package to evaluate 12 rating variables for homeowners insurance, improving predictive accuracy (Gini coefficient) by 6 percentage points over the prior model
• Presented loss ratio analysis to 4 senior actuaries and the VP of Pricing, delivering recommendations that informed $22M in rate adjustments across 3 states **Actuarial Research Assistant — University of Illinois, Dept. of Mathematics** *January 2024 – May 2025*
• Developed a stochastic claims simulation model in Python (NumPy, SciPy) for a faculty research project, generating 50,000 Monte Carlo scenarios to test reserve adequacy under tail risk conditions
• Cleaned and analyzed 120,000 historical loss records from the NAIC database using pandas, reducing data quality errors by 15% through automated validation scripts
• Co-authored a research paper on frequency-severity modeling using zero-inflated Poisson regression, presented at the university's annual actuarial research symposium to an audience of 85 attendees
• Created interactive data visualizations in Tableau and matplotlib summarizing $2.1B in aggregate loss data across 8 insurance lines, used in 3 graduate-level lectures

Technical Skills

**Programming:** Python (pandas, NumPy, SciPy, scikit-learn), R (tidyverse, tweedie, shiny), SQL (PostgreSQL, MySQL), VBA **Actuarial Tools:** Excel (pivot tables, VLOOKUP, dynamic arrays), Tableau, Jupyter Notebooks **Techniques:** GLMs, Monte Carlo simulation, loss development triangles, chain-ladder method, Bornhuetter-Ferguson method, experience rating

中階精算師履歷範例

**MICHAEL TORRES, ACAS** Hartford, CT 06103 | (860) 555-0287 | [email protected] | linkedin.com/in/michaeltorres-fcas

Professional Summary

Associate of the Casualty Actuarial Society with 6 years of property and casualty pricing and reserving experience across personal auto, homeowners, and commercial lines. Led a 4-person pricing team that delivered $85M in rate filings across 12 states while maintaining a combined ratio of 96.3%. Built predictive models in Emblem and R that improved loss ratio segmentation by 11 points on a $1.2B book of business. Currently pursuing FCAS designation with 2 remaining exams.

Actuarial Credentials

• **ACAS** — Casualty Actuarial Society (Associate), Attained 2024
• CAS Exams Passed: MAS-I, MAS-II, Exam 5, Exam 6, Exam 7, Exam 8
• SOA/CAS Preliminary Exams: P, FM (2018–2019)
• VEE Credits: Economics, Accounting & Finance, Applied Statistics — Complete
• CAS Course on Professionalism — Completed 2024
• **FCAS Progress:** 2 of 9 Fellowship exams remaining (Exam 8 and Exam 9)

Professional Experience

**Senior Actuarial Analyst — Northeast Insurance Group, Hartford, CT** *March 2022 – Present*

• Lead a 4-person actuarial pricing team responsible for personal auto and homeowners lines across 12 states, managing rate filings on a $1.2B book of written premium with an overall combined ratio of 96.3%
• Developed and deployed a multivariate pricing model in Emblem (Willis Towers Watson) incorporating 18 rating variables, improving loss ratio segmentation by 11 points and generating an estimated $14M in annual underwriting profit improvement
• Built an automated reserving pipeline in R that runs quarterly chain-ladder, Bornhuetter-Ferguson, and Cape Cod methods on 24 accident-year segments, reducing reserve analysis turnaround from 3 weeks to 5 business days
• Conducted a comprehensive rate adequacy study for the commercial property book ($340M in written premium), identifying a 7.8% rate deficiency that was approved by regulators in 8 of 9 filed states within 90 days
• Implemented a Python-based catastrophe model validation framework that reconciled AIR Touchstone and RMS RiskLink outputs for 450,000 exposures, reducing model discrepancies by 32%
• Presented quarterly reserve opinions to the CFO and Chief Actuary, covering $620M in net loss reserves with an estimated reserve range of +/-3.2% confidence at the 75th percentile **Actuarial Analyst — Atlantic Casualty Insurance, Glastonbury, CT** *June 2019 – February 2022*
• Priced commercial general liability and workers' compensation accounts with annual premiums ranging from $50K to $8M, achieving a 94.1% hit ratio on quoted-to-bound business
• Performed experience rating and loss-sensitive program analysis for 120+ large accounts, managing aggregate deductible structures totaling $45M in retained risk
• Built GLMs in SAS to analyze frequency and severity for 5 commercial lines, identifying 3 underperforming class codes that drove $6.2M in adverse loss development
• Developed a territory relativities model using census tract-level data (12,000+ tracts) and geospatial analysis in R (sf package), producing rate differentials adopted for the 2021 rate filing across 4 states
• Automated Schedule P exhibits and NAIC Annual Statement actuarial schedules using VBA, saving the reserving team 22 hours per quarterly filing cycle
• Conducted peer review of $180M in IBNR reserves for 3 casualty segments, documenting findings in a 35-page reserve analysis memo reviewed by external auditors **Actuarial Intern — Mid-Atlantic Reinsurance Corp., Philadelphia, PA** *May 2018 – August 2018*
• Analyzed treaty pricing on a $500M excess-of-loss reinsurance portfolio, calculating expected loss costs and risk loads for 14 cedent programs
• Built a burning cost model in Excel with 10 years of historical loss data for a property catastrophe account, supporting a treaty renewal that generated $3.2M in premium
• Compiled industry loss data from ISO PCS and Swiss Re Sigma for catastrophe benchmarking, covering 45 named events with insured losses exceeding $180B in aggregate
• Assisted in the development of a facultative pricing tool in VBA that reduced quote turnaround from 4 hours to 45 minutes per submission

Technical Skills

**Actuarial Software:** Emblem (Willis Towers Watson), ResQ, AIR Touchstone, RMS RiskLink, Arius (Milliman) **Programming:** R (tidyverse, sf, shiny, data.table), Python (pandas, scikit-learn, XGBoost), SAS, SQL, VBA **Techniques:** GLMs, GAMs, gradient boosted trees, chain-ladder, Bornhuetter-Ferguson, Cape Cod, Mack method, bootstrap reserving, catastrophe modeling, experience rating, loss-sensitive program pricing **Regulatory:** NAIC Annual Statement, Schedule P, Actuarial Opinion, rate filing preparation (SERFF)

資深精算師履歷範例

**JENNIFER NAKAMURA, FSA, MAAA, CERA** New York, NY 10017 | (212) 555-0391 | [email protected] | linkedin.com/in/jennifernakamura-fsa

Professional Summary

Fellow of the Society of Actuaries and Member of the American Academy of Actuaries with 14 years of life insurance and annuity experience spanning pricing, valuation, and enterprise risk management. Currently serve as VP & Appointed Actuary for a $9.4B life and annuity carrier, responsible for GAAP, statutory, and IFRS 17 reserve opinions covering 2.3 million in-force policies. Led a $320M reserve strengthening initiative and built an IFRS 17 compliance framework that reduced first-year implementation costs by $4.2M. Manage a team of 11 actuaries and 4 actuarial analysts with a combined exam pass rate of 78%.

Actuarial Credentials

• **FSA** — Society of Actuaries (Fellow), Attained 2017 | Track: Individual Life & Annuities
• **MAAA** — Member, American Academy of Actuaries
• **CERA** — Chartered Enterprise Risk Analyst
• SOA Exams: P, FM, MLC, C, FAP, APC, DP-ILA, FSA modules — All Passed
• VEE Credits: Economics, Corporate Finance, Applied Statistics — Complete
• Actuarial Standards of Practice (ASOPs) 23, 25, 28, 41, 43, 46, 52 — Applied in Practice

Professional Experience

**Vice President & Appointed Actuary — Meridian Life Insurance Company, New York, NY** *January 2021 – Present*

• Serve as Appointed Actuary responsible for the annual Actuarial Opinion and Actuarial Opinion Memorandum covering $9.4B in statutory reserves across individual life, group life, fixed annuities, and variable annuities for 2.3 million in-force policies
• Led a 14-month IFRS 17 implementation project with a $12M budget, building the General Measurement Model (GMM) and Variable Fee Approach (VFA) frameworks in Prophet that reduced projected first-year compliance costs by $4.2M versus initial vendor estimates
• Directed a $320M reserve strengthening initiative after asset adequacy testing revealed a 3.4% deficiency in the fixed annuity block under 200 stochastic interest rate scenarios generated in MoSes
• Manage a team of 11 credentialed actuaries (6 FSAs, 5 ASAs) and 4 actuarial analysts, maintaining a team exam pass rate of 78% against the SOA average of approximately 45%
• Oversaw the repricing of a $1.8B universal life block, adjusting cost-of-insurance charges and lapse assumptions that improved the present value of distributable earnings (PVDE) by $47M over a 20-year projection period
• Established a model risk governance framework covering 8 production models (Prophet, MoSes, GGY AXIS) that reduced model validation findings by 62% in the subsequent external audit cycle
• Present quarterly reserve and capital adequacy reports to the Board Risk Committee, covering $2.1B in risk-based capital and a company action level RBC ratio of 412% **Director, Life Actuarial Valuation — Summit Financial Group, New York, NY** *April 2016 – December 2020*
• Managed statutory, GAAP, and tax valuation for a $5.2B life and annuity portfolio comprising term life, whole life, universal life, fixed indexed annuities, and variable annuities
• Built and maintained 14 Prophet valuation models covering 1.4 million policies, reducing quarterly close cycle time from 18 business days to 11 business days through automation of assumption updates and model runs
• Led the VM-20 Principle-Based Reserving (PBR) implementation for new term life products, running 10,000 stochastic scenarios per product and reducing reserve margins by $28M compared to formulaic reserves
• Developed mortality and lapse assumption studies using 15 years of company experience data (3.2 million policy-years of exposure), producing credibility-weighted assumptions that passed all 7 ASOP 25 review criteria
• Coordinated annual asset adequacy testing (Actuarial Guideline XLIII / cash flow testing) across 200 interest rate scenarios and 50 equity return paths, documenting results in a 120-page memorandum reviewed by the state insurance department
• Achieved a 97.2% accuracy rate on quarterly reserve estimates versus final audited figures across 12 consecutive quarters, with the largest variance being $3.8M (0.07%) on a $5.2B total reserve
• Supervised 7 direct reports, promoting 3 analysts to ASA-level positions and reducing team turnover from 28% to 9% over a 4-year period **Senior Actuarial Analyst — Pacific Life Assurance, Los Angeles, CA** *July 2012 – March 2016*
• Performed product pricing for term life (10/20/30-year), whole life, and fixed annuity products with annual new business premium targets of $240M, achieving an actual-to-expected profit margin within 2.1% of target across all product lines
• Built cash flow projection models in GGY AXIS for asset-liability management (ALM), stress-testing a $3.8B general account portfolio across 12 deterministic and 1,000 stochastic scenarios
• Conducted embedded value analysis for the in-force block, calculating a market-consistent embedded value (MCEV) of $1.9B and identifying $85M in new business value from 3 recently launched product lines
• Developed a policyholder behavior model incorporating dynamic lapse, premium persistency, and utilization functions that improved the predictive power of the universal life valuation model by 14% (measured by actual-to-expected ratio)
• Prepared rate filings for 6 states, including supporting actuarial memoranda and compliance documentation, achieving regulatory approval within an average of 67 days versus the industry average of 90 days
• Automated experience study data extraction using SAS, processing 8M policy records monthly and reducing the data preparation phase from 5 days to 6 hours

Technical Skills

**Actuarial Platforms:** FIS Prophet (Professional, Enterprise), MoSes (Willis Towers Watson), GGY AXIS (Moody's Analytics), Milliman MG-ALFA **Programming & Analytics:** R (tidyverse, actuar, demography), Python (pandas, lifelines, TensorFlow), SAS, SQL, VBA, MATLAB **Risk & Capital:** Solvency II (SCR calculation), RBC (C-1 through C-4 components), IFRS 17 (GMM, VFA, PAA), VM-20 Principle-Based Reserving, Economic Scenario Generators (AAA, Conning GEMS) **Regulatory Standards:** ASOPs 23/25/28/41/43/46/52, Actuarial Guideline XLIII, NAIC Model Regulation 830, Dodd-Frank stress testing **Leadership:** Team management (15 direct/indirect reports), exam mentorship programs, model governance committees, board-level presentations

關鍵技能與 ATS 關鍵字

以下關鍵字最常出現在保險公司、顧問公司與再保險公司的精算職缺中。請納入那些真實反映你經驗的項目。

技術與分析關鍵字

1. Loss reserving (IBNR, IBNER, case reserves)
2. Pricing and ratemaking
3. Predictive modeling
4. Generalized linear models (GLMs)
5. Catastrophe modeling (AIR, RMS, CoreLogic)
6. Stochastic modeling
7. Monte Carlo simulation
8. Experience studies (mortality, lapse, morbidity)
9. Asset-liability management (ALM)
10. Cash flow testing
11. Principle-Based Reserving (VM-20)
12. IFRS 17 (GMM, VFA, PAA)
13. Risk-Based Capital (RBC)
14. Enterprise risk management (ERM)
15. Reinsurance pricing and treaty analysis

軟體與工具關鍵字

16. Prophet (FIS)
17. GGY AXIS (Moody's Analytics)
18. MoSes
19. Emblem (Willis Towers Watson)
20. ResQ
21. Arius (Milliman)
22. Python (pandas, scikit-learn)
23. R (tidyverse, shiny)
24. SAS
25. SQL
26. VBA / Excel modeling

證照與法規關鍵字

27. FSA / ASA / ACAS / FCAS
28. MAAA (Member, American Academy of Actuaries)
29. CERA (Chartered Enterprise Risk Analyst)
30. NAIC Annual Statement / Schedule P
31. Actuarial Standards of Practice (ASOPs)
32. SERFF rate filing

專業摘要範例

入門級(0–2 年,2–4 門考試通過)

Actuarial analyst candidate with 3 passed SOA preliminary exams (P, FM, FAM) and a B.S. in Mathematics with actuarial concentration. Completed a 10-week P&C pricing internship analyzing a $300M personal auto book, building GLMs in R that identified 4 underpriced territory segments contributing to a 6.2-point loss ratio differential. Seeking an entry-level actuarial role where I can apply predictive modeling skills and progress toward the ACAS designation.

中階(4–8 年,ASA/ACAS 證照)

ACAS-credentialed actuary with 6 years of commercial lines pricing and reserving experience at a top-25 P&C carrier. Led rate adequacy analyses on a $900M multi-state book, delivering 8 regulatory filings that closed a 5.4% aggregate rate gap while maintaining policyholder retention above 88%. Proficient in Emblem, R, Python, and catastrophe modeling platforms (AIR Touchstone), with demonstrated ability to translate complex actuarial analysis into executive-level strategic recommendations.

資深(10+ 年,FSA/FCAS 證照)

FSA and CERA with 14 years of life and annuity actuarial leadership, currently serving as Appointed Actuary for a $9.4B carrier covering 2.3 million in-force policies. Led IFRS 17 implementation ($12M budget, 14-month timeline), directed a $320M reserve strengthening, and built a model governance framework across Prophet, MoSes, and GGY AXIS that reduced audit findings by 62%. Manage a team of 15 actuaries with a 78% exam pass rate, and present quarterly reserve and capital opinions to the Board Risk Committee.

常見履歷錯誤

1. 只列出考試名稱,卻沒有日期或背景

只寫「SOA Exam P — Passed」卻不附日期,會迫使讀者猜測你是什麼時候通過的。招聘人員會把考試進度速度當作候選人素質的指標。請務必註明月份與年份,並按時間順序排列考試。如果你目前正在準備某門考試,可加上「Sitting [Month Year]」以顯示持續進度。

2. 描述職責而非成果

「Responsible for reserving analysis」無法讓讀者看出你的影響力。每個條列項目都必須回答:負責的業務規模多大?你的工作帶來了什麼改變?「Performed quarterly reserve analysis on a $450M workers' compensation book using the chain-ladder and Bornhuetter-Ferguson methods, identifying a $12M reserve redundancy that was released in Q4」同時傳達了規模與成果。

3. 忽略你所負責業務的金額規模

精算工作天生就與大筆金額密不可分——保費總量、準備金餘額、資本要求。用人主管看到「performed pricing analysis for commercial auto」時,無法分辨你是處理 500 萬美元的小眾計畫還是 5 億美元的全國業務。請在每個職位中列出簽單保費、已賺保費、準備金餘額或資本金額。

4. 使用空泛的技能描述而非具體工具

「Proficient in actuarial software」毫無意義。精算專業使用非常具體的平台,而每家雇主的技術堆疊都不同。請寫「Prophet Professional (FIS) for life valuation models」或「Emblem for P&C GLM pricing」或「Arius for loss reserving」。如果你使用過 AIR Touchstone、RMS RiskLink 或 CoreLogic 進行災難建模,請明確列出。

5. 把考試進度藏在工作經驗之下

對於經驗少於 10 年的精算候選人來說,考試狀態是最重要的證照差異化指標。請把你的考試與證照區塊放在專業摘要之後、工作經驗之前。如果用人主管無法在前 5 秒內找到你的考試數量,就會直接換下一份履歷。

6. 未區分 SOA 與 CAS 路線

如果你通過了 SOA 與 CAS 的考試,或在兩條路線之間轉換過,請清楚說明。財產與意外險雇主在搜尋 ACAS 候選人時,無法僅從考試名稱列表推論你的 CAS 歸屬。請為每個考試標示主管機構(SOA Exam P、CAS Exam 5)並明確寫出你目標的證照稱號。

7. 忽略產業特定的法規知識

精算工作受高度監管,展現對法規環境的熟悉度能顯示專業成熟度。如果你透過 SERFF 提交過費率申請、撰寫過 Actuarial Opinion 備忘錄,或處理過 ASOPs、VM-20 或 IFRS 17,這些都應該列在你的履歷上。法規經驗能把技術分析師與具備業務就緒能力的精算師區分開來。

ATS 優化技巧

1. 精確匹配證照縮寫

申請者追蹤系統會搜尋特定字串。請同時列出縮寫與完整名稱:「Fellow of the Society of Actuaries (FSA)」和「Associate of the Casualty Actuarial Society (ACAS)」。某些系統會搜尋「FSA」,而其他系統會搜尋「Fellow」。兩者都列入能提升配對率。

2. 使用標準區塊標題

ATS 解析器期望看到「Professional Experience」、「Education」、「Skills」、「Certifications」這類標題。避免創意標題如「Where I've Made an Impact」或「My Actuarial Journey」。這些可能導致解析器分類錯誤或完全略過某些區塊。

3. 拼出精算方法與縮寫的全名

至少寫一次「Incurred But Not Reported (IBNR)」,之後再使用「IBNR」。對「Generalized Linear Model (GLM)」、「Principle-Based Reserving (PBR)」、「Enterprise Risk Management (ERM)」與「Asset-Liability Management (ALM)」也做同樣處理。這能確保你的履歷同時匹配到招聘人員使用的縮寫與全名搜尋。

4. 以職缺中出現的原貌列出軟體名稱

如果職缺寫「FIS Prophet」,就用「FIS Prophet」——不要只寫「Prophet」。如果寫「Moody's Analytics GGY AXIS」,請比照使用。ATS 關鍵字匹配通常是字面上的,部分匹配的分數可能低於完全匹配。請檢視雇主的職缺公告,並精準對齊你使用的術語。

5. 避免表格、圖形與多欄版面

許多 ATS 平台(Taleo、Workday、iCIMS、Greenhouse)無法可靠地解析表格、文字方塊或多欄版面。請使用單欄格式,並以清晰的區塊分隔。如果你希望為面談準備視覺上吸引人的版本,可以另外保留一份「設計版」,但在線上投遞時請提交 ATS 友善的版本。

6. 以阿拉伯數字而非文字書寫數量

寫「$1.2B」而非「1.2 billion dollars」。寫「12 states」而非「twelve states」。ATS 關鍵字搜尋與招聘人員快速瀏覽都偏好數字以利快速閱讀。例外情況是當數字位於句首時——此時請重組句子,讓它不再置於句首。

7. 將關鍵字置於脈絡中,而非堆積

有些候選人會在底部加上「Keywords」區塊,列出 50 個詞。現代 ATS 平台與招聘人員會懲罰這種做法。請將關鍵字自然地嵌入經驗條列中:「Built a GLM in Emblem to price 14 rating variables for a $600M personal auto book」在一個有意義的句子裡包含了 4 個關鍵字(GLM、Emblem、rating variables、personal auto)。

常見問題

申請入門級精算工作之前應該通過多少門考試?

根據 DW Simpson 的 2026 年招聘分析,大多數雇主對入門職位期望通過 2 到 3 門初級考試。最常見的組合是 Exam P(Probability)與 Exam FM(Financial Mathematics),再加上如 FAM 或 IFM 這樣的第三門考試可提供競爭優勢。只通過 1 門考試的候選人機會明顯較少,而在入門階段通過 4 門以上的候選人可能被視為對分析師職位資歷過高,應改為鎖定 Associate 層級的職位。

我應該在履歷上列出考試讀書時數或預計應考日期嗎?

請列出你下一次考試的預計日期(例如「Sitting for Exam STAM — October 2026」),因為這代表持續前進的動能。不要列出讀書時數——儘管精算專業認知到每門考試通常需要 300 小時以上的準備,把讀書時數列在履歷上看起來更像自我吹噓而非有用資訊。讓通過日期為你發聲:在 18 個月內通過 3 門考試的候選人,已明確展現出紀律,不需額外列出時數。

入門級精算師與取得 FSA 或 FCAS 證照的人員,薪資範圍分別為何?

根據 2024 年 Actuarial Careers 薪資調查與 DW Simpson 資料,入門級精算分析師(2-3 門考試、0-2 年經驗)基本年薪通常介於 $70,000 到 $102,000。持有 ACAS 或 ASA 證照、具 5-8 年經驗的中階精算師總薪酬為 $150,000 到 $200,000。擁有 10 年以上經驗的 Fellow(FSA 或 FCAS)總薪酬介於 $200,000 到 $500,000 以上,取決於產業(顧問業通常高於保險公司)與地區(紐約、哈特福與芝加哥提供溢價薪酬)。2024 年 Actuarial Careers 調查顯示全部經驗層級的平均總薪酬為 $213,203。

2026 年精算履歷上,程式設計經驗有多重要?

程式設計已從「加分項」轉為核心要求。DW Simpson 的 2026 年招聘報告明確指出,雇主現在優先考慮同時具備傳統精算技能與「資料分析、程式設計(例如 Python、R 或 SQL)、自動化,以及對 AI 或模型治理的理解」的候選人。在入門階段,展現至少一種語言(Python 或 R)的熟練度並搭配具體的專案範例幾乎是必要條件。在中階與資深層級,精算專用平台(Prophet、AXIS、Emblem、MoSes)的經驗與一般程式設計能力同等重要甚至更重要,但 Python 與 R 的流利度仍是期望標準。

精算師應使用一頁還是兩頁的履歷?

經驗少於 3 年的入門級候選人適合用單頁,這也是業界預期。中階精算師(ASA/ACAS、4-8 年經驗)兩頁是可接受的,通常也有必要以充分記錄考試進度、多個職位與技術專案細節。處於領導職位的資深精算師(FSA/FCAS、10 年以上)則以兩頁為標準,如果你擔任 Appointed Actuary 角色或有廣泛的董事會層級報告責任,第三頁也是可接受的。無論長度多少,每一行都必須物有所值——無關緊要的內容會稀釋你最亮眼成就的影響力。

引用與來源

1. **U.S. Bureau of Labor Statistics — Occupational Outlook Handbook: Actuaries.** Median annual wage of $125,770 (May 2024); 22% projected employment growth 2024–2034; approximately 2,400 annual openings; 33,600 total positions. https://www.bls.gov/ooh/math/actuaries.htm
2. **U.S. Bureau of Labor Statistics — Occupational Employment and Wages, May 2023: Actuaries (SOC 15-2011).** Wage percentiles and employment by industry. https://www.bls.gov/oes/2023/may/oes152011.htm
3. **DW Simpson — 2026 Market Trends in Actuarial Recruiting.** Employer selectivity increasing; entry-level candidates need 2-3 exams, internships, and programming skills; demand for cybersecurity risk, climate risk, and AI model governance expertise; actuarial unemployment under 1%. https://www.dwsimpson.com/2026/02/11/2026-market-trends-in-actuarial-recruiting/
4. **DW Simpson — 2025 Market Trends in Actuarial Recruiting.** Traditional insurance sectors (life, health, P&C) still drive bulk of actuarial hiring; hybrid work arrangements standard. https://www.dwsimpson.com/2025/02/25/2025-market-trends-in-actuarial-recruiting/
5. **Actuarial Careers — 2024 Salary Survey.** Average base salary $165,872; average bonus $47,332; average total compensation $213,203. Salary by years of experience ranging from $96,180 (0-2 years) to $229,814 (21+ years). https://www.actuarialcareers.com/salary-survey-2024/
6. **Rising Fellow — Actuary Salary: How Much Do Actuaries Make?** P&C actuaries average $204K at 5 years, $236K at 10 years; Life actuaries average $190K at 5 years, $226K at 10 years; entry-level starting salary $70K-$80K; consulting premium over carrier roles. https://risingfellow.com/actuary-salary-how-much-do-cas-actuaries-make/
7. **Society of Actuaries — Designations & Credentials.** ASA and FSA exam requirements, VEE credits, e-Learning modules, and professionalism requirements. https://www.soa.org/education/exam-req/default/
8. **Casualty Actuarial Society — Credential Requirements.** ACAS and FCAS exam pathways, MAS-I/MAS-II requirements, and CAS Course on Professionalism. https://www.casact.org/credential-requirements
9. **O*NET OnLine — Actuaries (15-2011.00).** Detailed occupation profile including knowledge requirements, skills, abilities, and technology tools. https://www.onetonline.org/link/summary/15-2011.00
10. **Coursera — What Does an Actuary Do? 2026 Career Guide.** Overview of actuarial specializations, education pathways, and skill requirements. https://www.coursera.org/articles/actuary

使用 Resume Geni 建立 ATS 優化的履歷 — 免費開始。