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AI Academy / AI for financial analysts

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AI for financial analysts

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1. An analyst pastes next week's unreleased client results into a free chatbot to draft commentary. What is the main problem?
The commentary will likely read as too long and need heavy trimming laterNon-public, confidential information was entered into an unapproved toolThe chatbot may misspell company names and product names in the draftThe free chatbot will probably cost the firm extra in usage fees
2. An AI summary reports that revenue grew, but the table shows a decline. What should you do?
Average the summary's claim and the table's figure to get a middle viewTrust the table and treat the summary as unreliable until checkedAsk the AI to restate the claim with more confidence and then use itTrust the summary, since a model reads text faster than a person does
3. Which instruction best protects a variance commentary draft?
Draft commentary and list questions for owners; do not invent causesDraft commentary that sounds impressive and explains every variance clearlySkip the small variances and comment only on the largest few itemsExplain why every variance occurred and give the single most likely cause
4. Which task most clearly stays with a human analyst?
Cleaning inconsistent date formats across a long extract of ledger dataRewording a clumsy paragraph in the quarterly commentaryDeciding what is material and recommending action to a clientDrafting a checklist of review steps for a financial model
5. You inherit a formula you do not understand. What is the best approach?
Ask AI to explain it, then test it on rows with known answersTrust the previous analyst, since they must have tested itReplace it with a simpler formula that gives a similar-looking numberDelete it and rebuild the calculation from scratch from memory
6. A manager wants you to present an AI-drafted forecast as final analysis. What is the best response?
Remove the source notes so the forecast looks cleaner on the pagePresent it as asked, but mention in passing that it came from AIDecline to work on the forecast until the manager drops the requestOffer a verified version, with checks and assumptions documented, first
7. Why might an AI model used in credit decisions need extra scrutiny?
It may treat groups unfairly because of biased dataIt cannot do the arithmetic that credit scoring needsIt is usually too slow to run on each application receivedIt needs far more computing power than other kinds of models
8. What is the strongest way to describe AI skills in an interview?
Say you know every AI tool and can apply any of them to any taskDescribe a specific workflow, an error you caught and how you changed your processAvoid the topic, since interviewers may think AI weakens your skillsSay AI now does most of your work, so you mainly review the output

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