What ALTAM Actually Tests

Advanced Long-Term Actuarial Mathematics (ALTAM) is the SOA exam that sits above the Fundamentals of Actuarial Mathematics (FAM) exam in the associateship track. I think of it as the deep end of the long-term modeling pool: it assumes you already know survival models and basic life contingencies, and it pushes you into multiple-state models, richer reserve and profit-testing work, and the mathematics behind pensions and retiree benefits.

The format is the part people underestimate. ALTAM is a 3-hour written-answer exam. Six written-answer questions worth 60 points in total, with one answered in Excel; you are not choosing A through E. You set up the model, carry the algebra, and present a numerical answer with your work visible. Graders award partial credit, so a clean, well-labeled solution that stops one step short still earns points, while a bare final number that is wrong earns nothing. This changes how you should study. You are training to communicate a solution, not just to arrive at one.

Because it is written-answer and graded by human review, results take longer to release than a computer-scored multiple-choice exam, and the grading applies a curve-like standard to set the pass mark for each sitting.

Blueprint and Topic Weights

The SOA publishes the current syllabus and topic weights, and I always tell candidates to pull the latest version directly, because weights shift between curriculum updates. That said, the shape of the exam has been stable, and here is how I bucket it:

  • Long-term insurance and annuity models (largest single block). Present values, premiums, and policy values for whole life, term, endowment, and deferred annuity products, including the underlying survival-model math.
  • Multiple-state (Markov) models. Transition intensities, Kolmogorov equations, and using multiple-state frameworks to value disability, sickness, and other multi-status coverages. This is a signature ALTAM topic and it shows up heavily.
  • Policy values, reserves, and profit testing. Recursive reserve relationships, Thiele's differential equation, and profit-test cash flows including expenses and reserves.
  • Pension and retirement benefits. Valuing defined benefit obligations, replacement ratios, service and salary scales, and retiree health considerations.
  • Interest rate and structured-product content. Embedded options and interest-rate sensitivity for long-term products, at the depth the syllabus specifies.

If you want a single rule of thumb: multiple-state models plus policy values plus pensions are where most of the points live. Do not let a favorite niche topic crowd out drilling those three.

Study Hours and Timeline

My honest estimate for a working candidate is 300 to 400 hours across 4 to 6 months. If your FAM-level survival models and integral calculus are fresh, you can lean toward the lower end. If it has been a year or two, budget the extra time up front for a fundamentals refresh, because ALTAM problems assume that machinery is automatic.

Here is a timeline I would run for a typical sitting:

  • Weeks 1 to 3: fundamentals refresh. Re-derive standard life-contingency identities, survival functions, and annuity/insurance present values until they are muscle memory. Do not start ALTAM-specific problems until this is solid.
  • Weeks 4 to 10: core syllabus, topic by topic. Read one topic, then immediately work problems on it. Multiple-state models and policy values deserve the most calendar time here.
  • Weeks 11 to 15: pensions, profit testing, and the remaining topics. These reward organized setup work, so practice writing full solutions.
  • Weeks 16 to 18: full written-answer practice under time. Simulate the 3-hour sitting with past written-answer problems, hand-timing yourself.
  • Final week: review, formula recall, and light problem sets. Taper the volume so you arrive rested.

Consistency beats cramming on a written-answer exam. Two focused hours most days will serve you better than one giant weekend block.

A Practice Strategy That Works

The single biggest shift from earlier exams is that you must write full solutions, not verify answers. So my practice loop looks like this:

  1. Work the problem cold, on paper or in the exam's answer format, showing every step. No peeking.
  2. Grade yourself like a grader would. Did you define notation? State the model? Carry units? Mark where you would have earned or lost partial credit.
  3. Redo any problem you could not finish, from scratch, a day later. Re-solving beats re-reading.
  4. Keep an error log. Every mistake goes in a running list tagged by topic and by type (setup error, algebra slip, wrong assumption). Patterns show up fast.

For volume, you want a large, well-tagged problem set so you can drill by topic and then mix. I keep a free ALTAM question bank you can use here: FreeFellow ALTAM questions. Use it to build reps on multiple-state and policy-value problems specifically, then move to timed mixed sets once individual topics feel routine.

One more habit: practice writing efficiently. On a 3-hour written exam, neat but fast setup matters. Learn to state your assumptions in one line and move on, rather than writing an essay.

Common Mistakes I See

  • Treating it like a multiple-choice exam. Candidates who only practice getting the final number get blindsided by the demand to present clean work. Practice the presentation from day one.
  • Underweighting multiple-state models. They are conceptually the hardest block for many people, so they get avoided, which is exactly backwards. Front-load them.
  • Skipping the fundamentals refresh. ALTAM assumes FAM-level fluency. Every hour you save by skipping the refresh, you lose threefold when basic identities slow you down mid-problem.
  • No timed full practice. Time pressure on a written exam is real. If your first timed run is exam day, you will misallocate minutes across problems.
  • Not managing partial credit. If you are stuck, write the setup, state the method, and get whatever points you can. Never leave a problem blank.
  • Formula memorization without derivation. When a formula slips, being able to re-derive it (Thiele, recursions, Kolmogorov) is what saves the problem.

Frequently Asked Questions

What is the ALTAM pass rate?

SOA publishes pass rates after each sitting, and ALTAM has historically fallen in roughly the 40 to 55 percent range. Check the most recent released figure for your sitting, since it varies from one administration to the next.

How many hours should I study for ALTAM?

Most candidates spend about 300 to 400 hours over 4 to 6 months. If your survival-model and calculus fundamentals are rusty, budget toward the higher end and start with a review of the FAM material.

What topics does ALTAM cover?

The main areas are long-term insurance and annuity models, multiple-state (Markov) models, policy values and reserves, profit testing, and pension plus retirement benefit mathematics, along with some structured-product and option content.

What is the exam format?

ALTAM is a 3-hour written-answer exam. You solve problems and type or write out your work rather than picking from multiple-choice options, so showing steps earns partial credit.

Is ALTAM harder than the old LTAM?

ALTAM inherited the advanced portion of LTAM after the 2022 curriculum change. It is a fully written-answer exam, which many candidates find more demanding than a mixed-format sitting, because you cannot back into answers from choices.

Final Thoughts

ALTAM rewards candidates who practice the way the exam is scored: full solutions, clean setup, and partial credit captured on every problem. Get your fundamentals sharp, spend your heaviest hours on multiple-state models and policy values, and log every mistake so you stop repeating it. If you want reps, the free question bank at /free/exam-altam/ is a good place to build them. FreeFellow is independent and not connected with the SOA, so always confirm current syllabus details and dates against the source before you sit.