IFoA CP1 common mistakes
IFoA CP1 · Understand the traps and how to avoid them.
Writing a long general answer about 'the actuarial control cycle' without applying its stages to the specific product, company or decision in the question, so the answer could be pasted into any CP1 script.
Candidates memorise the control cycle as a diagram and reproduce definitions under time pressure rather than using it as an analytical tool; the exam rewards application to the scenario, and generic recall earns few marks despite length.
What to do instead
Before writing, extract the scenario's key facts (product type, distribution channel, capital position, regulatory regime) and force each paragraph to reference at least one of them; practise by converting past-style scenarios into a one-line 'so what' per control cycle stage before drafting.
Treating 'discuss' or 'explain' questions as single-cause questions, giving one reason and moving on, when the marks available clearly require breadth across several stakeholders or mechanisms.
Under exam time pressure candidates write the first idea fully instead of generating a list; they also misjudge mark allocation, giving a 10-mark discuss the same depth as a 3-mark state.
What to do instead
Use mark-per-point discipline: allocate roughly one distinct point per mark, brainstorm a bullet list of headings first (e.g. policyholder, shareholder, regulator, reinsurer, competitor), then write two or three sentences per heading. Practise timing so a 10-mark discussion takes about 10-12 minutes.
Ignoring the regulatory and professional-conduct dimension when a question involves a product design, pricing or communication decision, so answers omit disclosure, treating customers fairly, conflicts of interest and the role of the appointed actuary.
Candidates compartmentalise professionalism as a separate syllabus topic and do not spontaneously import it into technical questions; they also lack fluency in naming specific obligations and instead write vague phrases like 'comply with regulations'.
What to do instead
Build a mental checklist to run against every scenario: who is the customer, what must be disclosed, what conflicts exist, which regulator and which professional standard apply, and what the actuary should do if pressured. Rehearse naming concrete obligations (fair treatment of customers, suitability, clear communication of risk) rather than generic compliance language.
Presenting a single deterministic projection or point estimate as the answer to a risk question, without scenario analysis, sensitivity testing or discussion of the distribution of outcomes.
Candidates default to the calculation they can do rather than the judgement the question asks for; stochastic and scenario thinking is learned as formulae rather than as a communication habit.
What to do instead
Whenever a question mentions risk, uncertainty or capital, explicitly state at least three scenarios or sensitivities, say what drives the difference between them, and comment on the shape of the tail. Practise writing a short paragraph on 'what would change this answer' for every numerical result you produce.
Producing a calculation with no audit trail: numbers appear without stated assumptions, units, time horizon or intermediate steps, so an arithmetic slip loses all marks and the examiner cannot award method marks.
Candidates rush to finish the numerical part and treat workings as scrap paper; they also assume the marker will infer assumptions that were never written down.
What to do instead
Adopt a fixed layout: state assumptions and data sources first, show each formula with substituted values, keep units and time periods visible on every line, and finish with a sentence interpreting the result. Even when the final figure is wrong, this preserves method marks.
Confusing the roles of the different life insurance contract types and their risk carriers, for example describing unit-linked business as if the insurer bears investment risk, or muddling without-profits and with-profits smoothing.
Candidates learn product features as lists and never map each feature to who bears which risk (policyholder, insurer, reinsurer); the distinction between guaranteed and non-guaranteed benefits is treated as terminology rather than economics.
What to do instead
Build a comparison table for each contract type across the dimensions: investment risk bearer, mortality risk bearer, guarantee level, expense risk, and capital strain at outset. Rehearse explaining to a policyholder in plain language what is and is not guaranteed.
Answering general insurance questions using life-insurance logic, for example ignoring claim inflation, the underwriting cycle, reserving for incurred but not reported claims, or the need for catastrophe and accumulation modelling.
Many candidates come from a life or pensions background and apply familiar reserving and pricing frameworks; the distinctive features of non-life business (short tail versus long tail, reinsurance structures, cyclical pricing) are under-rehearsed.
What to do instead
For every general insurance question, explicitly address claim frequency and severity, development and IBNR, inflation and discounting, reinsurance and accumulation of risk. Practise contrasting a life and a non-life reserving answer side by side so the differences become automatic.
Treating pension scheme questions as pure investment questions, omitting the sponsor covenant, scheme funding versus accounting measures, member benefit structure and the trustees' duties.
Candidates focus on asset allocation mechanics because they are quantifiable, and neglect the institutional and governance context that carries many of the marks; defined benefit and defined contribution distinctions are blurred.
What to do instead
Use a stakeholder framework for every pensions question: members, trustees, sponsor, regulator, and where relevant the Pension Protection Fund. For each, state the objective, the risk borne and the relevant funding or accounting measure before discussing investment strategy.
Writing about health and care insurance as if it were identical to life insurance, missing morbidity versus mortality, the importance of claims incidence and duration, and the different regulatory and pricing treatment.
Health and care is a smaller part of the syllabus and candidates skim it, so they default to mortality assumptions and life-style reserving without adapting to morbidity, recovery and lapse experience.
What to do instead
Learn the core health and care building blocks explicitly: incidence rates, recovery and termination rates, deferred periods, and how these feed pricing and reserving. Practise a short question on critical illness or income protection pricing, naming the assumptions that differ from a life contract.
Describing models and data without commenting on their limitations: not questioning data quality, completeness, credibility or bias, and not stating that a model is a simplification whose outputs need judgement and communication to non-technical audiences.
Candidates treat modelling as a technical exercise and communication as an afterthought, so they present model output as fact; the syllabus expects critical appraisal of data and clear communication of uncertainty.
What to do instead
End every data or modelling answer with a short limitations paragraph covering source, volume, credibility, bias, model risk and validation, and a sentence on how you would explain the result and its uncertainty to a board or customer. Rehearse this as a fixed closing habit in practice answers.