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PayCrunch AI Playbook · Finance

How an investment analyst argues for a bigger coverage list

$239,700top of the range in South Dakota · middle $102,740 / yr
AI augments this role

Investment Analysts in the United States earn a median of $102,740 a year. Pay starts near $63,720. Pay reaches $239,700 at the top of the range in South Dakota, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Financial and Investment Analysts, SOC 13-2051). Last checked 9 September 2026.

Entry level
$63,720
Top of the range · South Dakota
$239,700
Education
Bachelor's degree in Finance
Lower disruption Higher exposure AI augments this role
Entry · $63,720 Top of range · $239,700 (South Dakota) Middle $102,740

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Financial and Investment Analysts). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Investment AnalystReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Investment Analyst work right now.

NumericNEWPaid / see site

AI-driven month-end close, reconciliation, and reporting.

How an Investment Analyst uses it: automate reconciliations and close the books faster

HebbiaNEWEnterprise / see site

AI that reads and analyzes large financial documents and filings.

How an Investment Analyst uses it: pull answers out of contracts, filings, and reports in minutes

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How an Investment Analyst uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

MindBridgeEnterprise / see site

AI that scans transactions for anomalies, errors, and fraud risk.

How an Investment Analyst uses it: flag risky or unusual entries across the whole ledger, not just a sample

Vic.aiEnterprise / see site

Autonomous accounts-payable and invoice processing.

How an Investment Analyst uses it: let AI code and process invoices with minimal manual entry

RampFree core / paid

Finance platform with AI that automates expenses and spend controls.

How an Investment Analyst uses it: auto-categorize spend and catch policy issues in real time

Power BI Copilot$10+ mo

Microsoft analytics with AI that builds dashboards and explains trends.

How an Investment Analyst uses it: ask questions of financial data and get charts and forecasts back

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How an Investment Analyst uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How an Investment Analyst uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

A generalist seat at a manager or a bank

An investment analyst in this sense sits at an asset manager or inside a bank and helps the firm understand the portfolios and products it already runs. You might support a multi-asset team, a client strategy group, a fund that blends several kinds of holdings, or a coverage team that needs a clear internal picture before anyone talks to a client. The work is monitoring, writing, and explaining. You keep the numbers straight, you compare results with the benchmark the team chose, and you draft the note a portfolio manager or a banker can stand behind.

Publishers of single-stock research and desks devoted only to bonds are neighboring careers with their own rhythms. This seat is broader and more internal. A morning can include a performance report, a contribution review that shows which holding helped or hurt, an update on a manager the firm allocates to, and a rewrite of commentary so a client letter sounds like English. You are close to markets. You are not there to hand someone a trade. The product is a clear account of what the book did and what the team needs to understand next.

The employer shapes the calendar. At a manager, the month-end cycle rules you. Performance has to be explained after fees and after the benchmark, in language a committee will accept. At a bank, the calendar may follow client reviews, product launches, or an internal risk meeting. Either way you live in spreadsheets, portfolio systems, and a writing voice that refuses drama. If you need every day to feel like a public call with a famous name attached, this generalist seat will feel quiet. The quiet is the point. Someone has to be right about the figures before the story goes out.

What the internal note has to do

A good note answers a small set of plain prompts. What changed in the portfolio. What changed in the benchmark. Which decision the team already made explains the gap. What is still unknown. You attach the exhibit that proves it, and you leave out the exhibit that only proves you were busy. Portfolio managers can feel when an analyst is hiding behind charts. They trust the person who will write one sentence they might actually say aloud to a client, then show the table underneath.

Maintenance work is honorable and constant. Holdings get corporate actions. A cash flow hits on the wrong day. A benchmark vendor restates history. You reconcile before you interpret. An elegant story built on a broken extract is a professional error, not a style choice. Learn the accounting of the fund well enough to know when a number cannot be what the first pull suggested. Then learn the mandate. A strategy that promised low turnover should not be described with the vocabulary of a fast trading desk. Fit the words to the product the client bought.

Meetings are where the note either earns its keep or dies. An investment committee, a risk huddle, or a client-prep session will ask you to defend a figure without wandering into a sales pitch. Speak in the order of the conclusion, the evidence, and the limit. If a senior wants a stronger adjective than the evidence allows, hold the line politely and offer the sentence you can support. Analysts who inflate a result to please the room get found out at the next month-end. Analysts who can say "that reading is too strong for this data" become the people seniors want in the room when the result is awkward.

Study, the CFA charter, and a registration by name

Hiring classes often expect a bachelor's degree in finance, economics, mathematics, or a field that taught you to write and to count. An internship at a manager, a bank, or a consulting team that touched investments is the usual bridge. What you study on the job matters more than the major after the first year. You learn how a portfolio system works, how a benchmark is constructed at the level a user must respect, and how your firm talks about risk without turning the talk into a slogan.

The credential most people on this path recognize is the Chartered Financial Analyst charter, granted by the CFA Institute. It is voluntary. It signals a long, structured study of investment analysis, portfolio practice, and professional ethics, combined with work experience the Institute requires before it awards the charter. People prepare while they are already analysts, using the curriculum alongside live portfolios. In an interview, say where you are in that process if you have started. A finished charter helps later moves. Early hiring still depends on a clean work sample and an internship that trusted you with a real extract.

Some seats require a FINRA registration before the firm will let you speak with clients. Treat that phrase as a name the compliance team will raise if the seat needs it. The firm sponsors the registration and tells you which one. Your part is to follow that process accurately and to keep your public comments inside what compliance has allowed. Nothing in the registration turns an internal performance note into a personal recommendation, and you should not behave as if it did.

How a team decides to hire you

Managers hire for accuracy under a deadline and for writing that survives a skeptical reader. A case interview may hand you a simple performance exhibit and ask what you notice. Look for the contribution, the odd outlier, and the footnote that changes the story. Say what you would verify before you sent the note upstairs. If you do not know a term, say so and reason from the columns you can see. Bluffing a ratio is worse than a pause. Teams have watched a wrong number travel all the way to a client letter. They remember who was careful.

Bring a writing sample if the posting allows it. A class memo, an internship piece with confidential figures removed, or a short explanation of how a public fund's reported results compared with its stated benchmark will do. Keep any personal market opinion out of it. The sample should show structure: a conclusion, the evidence, and a limit. One page that is easy to follow beats five pages that show you can type. Also be ready to talk about a time you found an error and what you did in the next hour. Ownership is the character trait the job cannot teach quickly.

Ask what the seat supports. A role tied to one fund family, a role that rotates across strategies, and a role that is mostly client reporting are different educations. Ask who edits your drafts, what the month-end week really looks like, and whether client contact is part of the job or a later privilege. If a FINRA registration is part of the seat, the interviewer should be able to say so. You do not need to pretend you already know the firm's compliance manual. You do need to sound like someone who will follow it.

Where the title goes next

Junior analysts reconcile, update recurring exhibits, and draft under heavy edit. A full analyst owns a strategy or a client book and can send a note that needs only a light touch. Senior analysts and associates, depending on the firm's vocabulary, review other people's work, sit in the committee as a regular voice, and start to shape the product language. From there the paths fork. Some people become portfolio managers or research leads inside the manager. Some become product specialists who can explain a strategy without drifting into promises the fund cannot keep. Some move to a bank's investment or wealth platform, or into a consultant that picks managers for institutions. A few go to the client side, working for a pension, an endowment, or a family office that hires the managers you used to support.

The skill that compounds is taste about evidence. After enough month-ends you know which explanations are real and which are costume. You also learn the politics of a number that makes a portfolio manager look slow. Your reputation is the way you handle that moment. If you want the next title, keep a private log of notes that changed a committee conversation and of errors you caught before they left the floor. Bring the log's lessons, not the confidential files, to a review. Titles in this business are uneven across firms. Scope is the truth. Ask whether you will own a strategy, whether you will speak in the committee, and whether your name will be on the client commentary. Pay should follow those answers, not the word "analyst" alone.

May 2025 wages for a wide analyst series

The Bureau of Labor Statistics publishes Occupational Employment and Wage Statistics for May 2025 for Financial and Investment Analysts, a series wider than this generalist seat at a manager or a bank. Entry pay is $63,720. The national median is $102,740. The high end of the published range in South Dakota is $239,700, in the locations with a big enough counted workforce to show a high end. That high end is not the state median. New York holds the highest state median at $127,930. Oregon's median is $120,590, Massachusetts's is $111,040, California's is $109,110, and New Jersey's is $108,610. The step from entry to the national median is $39,020. From the national median to the South Dakota high end is $136,960. The national median sits $25,190 under New York's median. The spread between the highest state median and the lowest is $64,930.

South Dakota is the surprise in the chart, and it is easy to misread. The $239,700 figure is the high end of the published range there, not a picture of a typical analyst in that state. The highest median is New York's $127,930, which sits $25,190 above the national median of $102,740. Oregon at $120,590 is the next median on the list. Massachusetts at $111,040, California at $109,110, and New Jersey at $108,610 form a tighter group still above the national middle. The $64,930 gap between the highest and lowest state medians shows how far place can move the middle. The $136,960 gap from the national median up to the South Dakota range top shows something else: how far the published high end sits from ordinary pay. Use the medians to judge an offer. Use $239,700 only when you mean the top of that published range.

Negotiating without turning it into a market call

Set the offer beside $63,720 and $102,740. A first full-time seat near entry is a familiar shape for an analyst program, especially with a bonus plan you should ask to see described in writing. The $39,020 distance to the national median is the story of experience: a strategy you can own, a charter in progress, a registration completed if the seat required one, and a year of notes that did not have to be rebuilt. If the offer is already near the median and the work is still junior reconciliation, ask whether the title will be reviewed when the scope grows. Pay that assumes senior judgment should come with senior drafts.

Location is a separate sentence from ambition. New York's median of $127,930 is the highest state median and the right anchor if that is where you will sit. Oregon at $120,590 matters if that office is real for you. Massachusetts at $111,040, California at $109,110, and New Jersey at $108,610 are close enough that a modest difference in bonus or in scope can matter more than the state median gap among them. None of those medians is the $239,700 high end in South Dakota. If a conversation drifts toward that high end, restate the $136,960 distance from the national median and the fact that the figure is a range top in one place, published because enough people in the occupation were there for the Bureau to show it. Then bring the talk back to your scope. You are negotiating a job that explains portfolios. You are not pitching a trade, and you do not need a market opinion to ask for the level the work deserves.

The top of Investment Analyst pay — and how to get there with AI

$239,700what Investment Analyst pay reaches in South Dakota

Highest state-level top-of-range annual wage for Financial and Investment Analysts, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Financial Managers — reaches $370,780 in New York.

$63,720entry$102,740middle$239,700top end

Pay in this seat follows how much ground one analyst can cover credibly, so the people at the top are the ones who cut the cost of their own routine work and then asked for the names that cost bought.

Monitoring economic, industrial and corporate developments across financial publications, government agencies, trade publications and company sources is a standing tax on the week, and so is preparing all the materials for a transaction. Both compress well now. Securities valuation and the recommendation on investment timing do not, because somebody has to sign their name to those. Analysts who stall keep the saved hours quietly. Analysts who move up count them, write them down, and use them as the argument for more coverage, a specialty such as green instruments and socially responsible funds, and eventually a team.

Your playbook, by where you are now

Just startingTime the work before you touch it

  1. Keep an honest log for one month of hours spent per valuation, per monitoring sweep and per transaction packet.
  2. Build one company valuation in Microsoft Excel with no inherited template, so you know which inputs actually drive the answer.
  3. Read the same industry every week until your questions on a call stop being the obvious ones.
  4. Ask Claude to condense a long filing into the changes since the previous one, then read those sections in the original before anything reaches a recommendation.
  5. Date every call you make on an investment and on its timing, and file it where you can be scored against it later.

What proves it: A month of logged hours next to a valuation built entirely from primary documents.

Realistic span: the first two years

A few years inCut the recurring cost, in writing

  1. Move the monitoring sweep into a stored query over Apache Hive or a business intelligence layer so the reading list assembles itself.
  2. Keep the shared reference data in Microsoft Access instead of five private spreadsheets that disagree by Thursday.
  3. Set up the recurring committee pack in Advanced Portfolio Technologies Report Builder so the numbers come from one place.
  4. Test whether a driver you believe in survives a regression in IBM SPSS Statistics before you build a recommendation on it.
  5. Write the memo: hours before, hours after, and the two additional names you can now carry properly.

What proves it: A named process you rebuilt, with a before and after hour count your manager has seen.

Realistic span: years three through six

ExperiencedSpend the capacity on scope

  1. Claim the specialty nobody staffs, such as green instruments and socially responsible exchange-traded products, and become the person asked about it.
  2. Present the oral and written reports on industry trends yourself, and answer for the call rather than the arithmetic.
  3. Train and mentor the junior team members on your tooling so the coverage survives your holidays.
  4. Ask for the coverage list and the headcount in the same conversation, with the throughput evidence attached.
  5. Weigh the move into financial management, where this experience is priced for judgment about capital rather than about a single name.

What proves it: A coverage list that grew on your evidence, with your name on the specialty.

Realistic span: seven years and up

The next 90 days

Take the single most repetitive thing you do as an investment analyst, most likely the weekly sweep through publications and company sources, and measure it for four weeks before changing anything. Then rebuild it once: a stored query, a shared data table, one recurring report that pulls from the same source as your model. Measure it again for four weeks. Write half a page that says what it cost, what it costs now, and which two companies you would add to your coverage with the difference. Take that page to whoever assigns names. Asking for scope with an hour count attached is a different conversation from asking for scope.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Investment Analyst

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Start with AI that reads filings and calls for you. If your firm licenses AlphaSense or Hebbia, use it to search across thousands of transcripts, filings, and broker notes and get sourced answers with citations. If not, use Perplexity Finance or ChatGPT/Claude on public transcripts to synthesize a call in minutes — then read the primary source yourself to confirm every claim.

For modeling and idea generation (public data only, no MNPI), Microsoft Copilot in Excel and ChatGPT's data analysis accelerate building and stress-testing. Learn the craft with free resources like SEC EDGAR, company IR sites, and the CFA Institute curriculum. Keep anything confidential or client-specific out of consumer tools entirely.

The one rule, forever: Never input material non-public information (MNPI), confidential deal data, or client holdings into a consumer AI tool — that's a compliance and Chinese-wall breach that can end a career. And verify every AI-extracted figure against the primary filing before it enters a model; these tools transpose and hallucinate numbers, and the recommendation — and the liability for it — is yours.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Speed-read filings and earnings calls to cover more names
Why this pays: Coverage breadth times depth is what makes an analyst valuable — more well-understood names means more actionable ideas. AI compresses hours of reading into minutes, so you can follow twice the companies at the same rigor, the capacity that moves you toward the top band.
AlphaSenseHebbiaPerplexity Finance
1
Use AlphaSense or Hebbia to search a company's filings and transcripts for the exact issues you care about (margins, guidance, a specific segment) and get cited passages instead of reading cover to cover.
2
Synthesize an earnings call fast, then verify the quotes.
Copy-paste this prompt
Summarize the key takeaways from this earnings call transcript for [TICKER]: any guidance changes vs prior quarter, shift in management tone, the top 3 analyst pushbacks and how management answered, and new disclosures on [gross margin / capex]. Quote the exact lines you draw each conclusion from. Transcript (public): [paste].
Use only public transcripts. Verify every quote against the source and never paste anything non-public — MNPI in a consumer tool is a compliance breach.
What you'll haveDeeper coverage of more companies in the same hours — the breadth-plus-depth that generates more ideas and higher pay.
2
Extract and structure financial data without the grunt work
Why this pays: Hand-keying financials from filings is where analysts burn days and make errors. Automating extraction frees that time for analysis and reduces model mistakes — and one costly modeling error avoided protects the credibility your comp rests on.
DaloopaMicrosoft Copilot in ExcelFactSet / Bloomberg
1
Use Daloopa (or your data provider's feed) to pull historical financials and KPIs straight into your model with links back to the source filing, instead of retyping tables.
2
Use Copilot in Excel to build and audit the mechanics, and reconcile every pulled figure.
Copy-paste this prompt
I'm building a 3-statement model for [public company]. Here are historical figures I pulled [paste table]. Set up the projection mechanics for revenue, EBIT, and free cash flow for FY+1 to FY+3, keep assumptions in a clearly labeled driver block, and flag any line where the historicals imply an inconsistency I should double-check. Excel formulas only, no hardcoded projections.
AI structures the model; you tie every historical to the 10-K/10-Q. A single transposed figure can invalidate a valuation — reconcile before you trust it.
What you'll haveAccurate models built in a fraction of the time — more analysis, fewer errors, and the reliability that underpins top-of-range trust.
3
Build and stress-test valuations with scenario AI
Why this pays: A recommendation is only as good as the range around it. Using AI to run bull/base/bear cases and find what the valuation is most sensitive to produces sharper, more defensible calls — the analytical rigor that gets your ideas sized and your name known.
ChatGPT (data analysis)ClaudeMicrosoft Copilot in Excel
1
Have AI pressure-test your assumptions and surface the sensitivities.
Copy-paste this prompt
Here is my DCF for [company]: key assumptions are [revenue growth, EBIT margin, WACC, terminal growth — paste]. Compute the implied value under base, bull, and bear cases with the assumption changes for each, then tell me which two assumptions the valuation is most sensitive to and what real-world evidence would move them. Public data only.
AI does the sensitivity math; you own the assumptions and the judgment. Sanity-check outputs against comps and reality — a clean-looking DCF can still be nonsense.
2
Cross-check your intrinsic value against a comparable-company analysis, using AI to help select the right peer set and multiples for the industry, and reconcile the two methods.
What you'll haveRecommendations with a rigorously mapped risk/reward — the defensible calls that get sized bigger and noticed.
4
Draft differentiated investment memos fast
Why this pays: The memo is the product. AI turns a blank page into a structured first draft in minutes, so your hours go into the insight and the thesis — and a clear, well-argued memo is how a junior analyst gets their ideas taken seriously and their comp raised.
ClaudeChatGPTAlphaSense
1
Feed your research and view to Claude and have it structure the memo, then rewrite it in your voice with your judgment.
Copy-paste this prompt
Turn my research notes into a structured investment memo for [company]: thesis, business overview, key drivers, valuation summary, the 3 biggest risks, and catalysts with timing. Keep it tight and specific, flag any claim that needs a source, and don't invent numbers. Notes: [paste your own analysis].
AI drafts structure and prose; the thesis and every number must be yours and verified. Never let AI fabricate a figure or a citation into a memo that carries your name.
2
Have AI red-team the finished memo for logical gaps and unstated assumptions before it goes to the PM — better to find the hole yourself than have it found in the meeting.
What you'll haveClear, rigorous memos produced faster — the persuasive product that gets your ideas heard and your pay raised.
5
Generate and defend the variant view
Why this pays: Being right when consensus is wrong is the only thing that truly differentiates an analyst and creates alpha. AI is a tireless devil's advocate that stress-tests your thesis and surfaces what the market may be missing — the edge behind a top-of-range track record.
ClaudeChatGPTPerplexity
1
Force the strongest counter-argument to your own thesis.
Copy-paste this prompt
Here is my investment thesis on [company]: [paste]. Argue the strongest possible bear case against it: what would have to be true for this to fall 30%, what specific data or events would disprove my thesis, and what the consensus might be missing on the other side. Be concrete and cite what you'd check.
Use AI to attack your own idea before the market does. It generates hypotheses to test, not conclusions to trust — verify each against real data.
2
Use AI to scan for non-obvious angles — supply-chain reads, alternative data narratives, second-order effects — then do the primary research to confirm or kill each one yourself.
What you'll haveBetter-tested, more differentiated calls — the variant-perception edge that builds the track record top pay is built on.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $239,700 tier.

Month 1
Adopt an AI research tool (AlphaSense/Hebbia/Perplexity) to speed-read filings and calls; always verify against the primary source. Expand your coverage list.
Months 2-3
Automate data extraction (Daloopa/Copilot in Excel) and rebuild a model faster with every figure reconciled to filings.
Months 3-6
Add AI scenario and sensitivity analysis to every valuation, and cross-check DCF against comps.
Months 6-9
Use AI to draft and red-team memos, sharpening the thesis and the writing; get more ideas in front of the PM.
Months 9-12
Systematically generate and defend variant views on your coverage, building a documented track record — and pair it with CFA progress.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

CFA Institute 2026 CFA Program Curriculum Level I Box Set

Same live Wiley/CFA Institute 2026 Level I box set already on financial-analyst. This page names the CFA Institute curriculum and CFA progress as the credential play. Not leftover 94 CFP (that is financial-planner / financial-advisor) and not Level II or Level III.

Next steps for an Investment Analyst

Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.

Investment Analyst work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Financial and Investment Analysts (SOC 13-2051). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.

Investment Analysts in this dataset list Alteryx software among the tools in use, so a program that names that stack is a better fit than a survey course.

The next title this dataset points at is Financial Managers; a credential aimed that way is a clearer step than another year in the same seat.

Accounting And Finance programs on Coursera for Investment Analyst work

Coursera search for accounting and finance — a professional certificate or bachelor's-level coursework that lines up with business and finance, not a generic professional-development aisle.

Accounting And Finance courses on edX

edX search for accounting and finance, aimed at business and finance (SOC 13-2051). Same field as the Coursera link, different university catalog.

Screened remote and flexible Investment Analyst listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Investment Analyst work, not a claim that they list a counted SOC 13-2051 inventory.

Build an Investment Analyst resume on Resume Now

Write an Investment Analyst resume, or one aimed at Financial Managers, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.

Build an Investment Analyst resume on Zety

An Investment Analyst resume that names the actual tasks on this page, or the step-up title Financial Managers, beats a blank template when you apply.

What Investment Analysts earn by state

These are the Bureau of Labor Statistics’ own figures for Financial and Investment Analysts, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

New York
$127,930
highest of them · +25% vs the national median
Puerto Rico
$63,000
lowest of the 44 states and territories that qualify · -39% vs the national median
The same job pays $64,930 more a year at the median in New York than in Puerto Rico — 103% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $239,700, is a different statistic in a different place: it is the 90th-percentile wage in South Dakota. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
New York$127,930Oregon$120,590Massachusetts$111,040California$109,110New Jersey$108,610Washington$107,210District of Columbia$105,780Virginia$105,490

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 13-2051. 44 states and territories clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace investment analysts?
It replaces the data-gathering, not the judgment. AI reads filings, extracts numbers, and drafts summaries — but deciding what a business is worth, forming a differentiated view, and being accountable for a call the firm sizes real money behind is human work. Analysts who use AI to cover more and think deeper get ahead; those who only did the data-entry part are the exposed ones. The job is shifting from gathering information to having a defensible opinion.
Is it safe to use ChatGPT for investment research?
For public information, yes — synthesizing public transcripts, filings, and industry reading. Absolutely not for MNPI, confidential deal data, client holdings, or anything behind a Chinese wall; that's a compliance breach with career-ending consequences. Use public sources in consumer tools, and for anything sensitive rely on your firm's sanctioned, walled-off systems.
Can I trust AI-extracted numbers in my model?
Never without checking. AI transposes digits, misreads table structure, and occasionally fabricates figures that look right. Tie every historical and every key input back to the primary filing before it drives a valuation. A single wrong number can invalidate a recommendation — and the accountability is entirely yours, not the tool's.
How does AI actually increase an analyst's pay?
By expanding what one analyst can do. AI removes the hours spent reading and keying data, so you cover more names in more depth, produce sharper memos, and generate more (and better-tested) ideas. Comp in this field follows the quality and impact of your calls and your path toward senior analyst or PM — AI is the leverage that lets you build that track record faster.
Should I still pursue the CFA if AI can do the analysis?
Yes. The CFA signals the judgment and ethics framework that matter more, not less, as AI handles mechanics. Employers and clients trust the human who can validate, override, and be accountable for AI output. Use AI as a tutor to get through the curriculum efficiently, but the credential plus a real track record is what moves you toward the $240k top band.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources