Analitycy Finansowi i Inwestycyjni

Wysokie ryzyko
79%

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RYZYKO AUTOMATYZACJI
OBLICZONY
77%
(Wysokie ryzyko)
ANKIETOWANIE
81%
(Bezpośrednie Zagrożenie, Na podstawie 1 254 głosów)
Average: 79%
POPYT NA PRACĘ
WZROST
9,5%
do roku 2033
PŁACE
99 010 $
lub 47,60 $ za godzinę
Objętość
325 220
od 2023
STRESZCZENIE
Co przedstawia ten płatek śniegu?
Płatek Śniegu to graficzne podsumowanie pięciu odznak: Ryzyko Automatyzacji (obliczane), Ryzyko (sondażowe), Wzrost, Płace i Wolumen. Daje Ci natychmiastowy obraz profilu zawodu. Kolor Płatka Śniegu odnosi się do jego rozmiaru. Im lepiej zawód wypada w porównaniu do innych, tym Płatek Śniegu staje się większy i bardziej zielony.
WYNIK PRACY
5,3/10
Co to jest?
Wynik pracy (im wyższy, tym lepszy):

Oceniamy prace, biorąc pod uwagę cztery czynniki. Są to:

- Szansa na automatyzację
- Wzrost zatrudnienia
- Wynagrodzenie
- Liczba dostępnych stanowisk

Są to kluczowe rzeczy, o których warto pomyśleć podczas poszukiwania pracy.

Ludzie również oglądali

Programiści komputerowi Adwokaci Księgowi i Audytorzy Deweloperzy stron internetowych Aktorzy

Obliczone ryzyko automatyzacji

77% (Wysokie ryzyko)

Wysokie ryzyko (61-80%): Zawody w tej kategorii stoją przed znaczącym zagrożeniem ze strony automatyzacji, ponieważ wiele z ich zadań może być łatwo zautomatyzowanych przy użyciu obecnych lub bliskich przyszłości technologii.

Więcej informacji na temat tego, czym jest ten wynik i jak jest obliczany, jest dostępne tutaj.

Nie znaleźliśmy żadnych ważnych cech tego stanowiska, które nie mogłyby być łatwo zautomatyzowane.

Ankieta użytkownika

81% szansa na pełną automatyzację w ciągu najbliższych dwóch dekad

Nasi goście głosowali, że jest bardzo prawdopodobne, iż to zawód zostanie zautomatyzowany. To ocena jest dodatkowo wspierana przez obliczony poziom ryzyka automatyzacji, który szacuje 77% szansę na automatyzację.

Jakie są Twoje zdanie na temat ryzyka automatyzacji?

Jakie jest prawdopodobieństwo, że Analitycy Finansowi i Inwestycyjni zostanie zastąpione przez roboty lub sztuczną inteligencję w ciągu najbliższych 20 lat?

Nastroje

Poniższy wykres jest wyświetlany tam, gdzie jest wystarczająca liczba głosów, aby uzyskać znaczące dane. Przedstawia wyniki ankiet użytkowników w czasie, dając wyraźny obraz trendów nastrojów.

Nastroje w czasie (kwartalnie)

Nastroje w czasie (rocznie)

Wzrost

Bardzo szybki wzrost względem innych profesji

Liczba ofert pracy na stanowisku 'Financial and Investment Analysts' ma wzrosnąć 9,5% do 2033

Całkowite zatrudnienie oraz szacowane oferty pracy

* Dane z Biura Statystyki Pracy za okres pomiędzy 2023 a 2033
Zaktualizowane prognozy mają być dostępne 09-2025.

Płace

Bardzo wysoko opłacany w porównaniu do innych profesji

W 2023, mediana rocznej pensji dla 'Financial and Investment Analysts' wynosiła 99 010 $, czyli 48 $ za godzinę.

'Financial and Investment Analysts' otrzymali wynagrodzenie wyższe o 106,0% od średniej krajowej, która wynosiła 48 060 $

Płace z biegiem czasu

* Dane z Biura Statystyki Pracy

Objętość

Znacznie większy zakres możliwości pracy w porównaniu do innych zawodów

Od 2023 roku zatrudnionych było 325 220 osób na stanowisku 'Financial and Investment Analysts' w Stanach Zjednoczonych.

To oznacza około 0,21% zatrudnionej siły roboczej w całym kraju.

Inaczej mówiąc, około 1 na 466 osób jest zatrudnionych jako 'Financial and Investment Analysts'.

Opis stanowiska pracy

Przeprowadź analizy ilościowe informacji dotyczących programów inwestycyjnych lub danych finansowych instytucji publicznych lub prywatnych, w tym wyceny przedsiębiorstw.

SOC Code: 13-2051.00

Komentarze (34)

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Greasy Banker
30 sie 2022 14:31
What I'm seeing in the comments on finance jobs in general is people don't expect them to be automated away, they WANT them to be automated away. Industry outsiders look from the outside in and estimate 0 human component, or simply discount any skills or talent a banker may have without even knowing what they do. Bankers get a bad rap, and I understand why, but if you want to talk overpaid positions, get alook at the IT sector right now and tell me what you see. That market will get saturated like everything else. Bankers don't have a monopoly on highly paid positions.
Tom
05 sty 2024 21:45
Bankers want soft skills but people who don't work in the field think there's no human component. It's a world of mystery to most people so of course they don't understand the nuances of the job and think it can be automated. Same with accountants. Bookkeeping can be automated but judgement, planning, and drawing inferences from the data is probably not happening in our lifetime unless quantum computing speeds up AGI.
Atanu (Nie ma szans)
21 mar 2023 08:31
AI has no innovative power. It is a trend model. There is a diference in innovation and training
Goldwin (Umiarkowany)
31 sty 2026 03:26
Different segment of clients value different types of services. The high net worth segment requires and can afford more bespoke and personal service . These roles will survive due to the personal touch. But i agree that clients will possess much more information from AI and are even able to automate their investment decisions , that most mass market clients will not require personal services.
WSB (Niski)
02 gru 2025 02:15
There's a couple of things surrounding market analysis that make automation extremely difficult.

It's already been attempted for decades to automate wall street most well known example being Blackrock's Aladdin

Then there's the technical work done by hedge funds most notably Medallion.

Even if the stock market truly was fully automated it would already be priced in and become worthless

A good trading strategy actually requires some subjectivity specifically for preventing arbitrage by quants.

I really don't think AI is going to change much, the innovation that's needed to generate Alpha can't be done by AI

TL;DR it can't be fully automated, if it could it already would have been
NJL
04 lis 2025 21:56
I believe this report is fairly accurate in the chances that analysts will be replaced by AI technology. AI has great quantitative skills. AI engines can compute complex statistical questions in a matter of seconds. AI, at its current state, is more accurate and quicker than most human analysts. The only things humans may be able to do better are to see how qualitative things, such as if an advertising campaign, will help/hurt a stock price.
Darshan Mahendra Bhavsar (Niski)
01 lut 2025 22:09
The positions such as M&A Analysts, IB Analysts are not listed and require a thorough training pitching to clients and working with capital markets to stay in the business.
BW
23 lis 2025 11:27
yes, the sale side of the business might be there for a few more years. If this is your career or major in college you should hone your social skills big time! Your social network needs to be wide and strong. Quant jobs are dead.
Rafael Beckhauser (Niski)
04 kwi 2021 16:12
because the planning, budgeting and forecasting (performance, demand, cash flow) are evolving with business intelligence and data driven. people are going to use their skills in python or sql. INCLUDING TREASURY MANAGEMENT; it is evolving in more data analysis and supply chain. MATH AND STATS SKILLS are essential including RISK MANAGEMENT as well.
Malek Salibi (Niski)
28 cze 2019 18:07
Some reporting automation bound to happen but variance analysis, complex coodination between business units and solid business acumen and knowledge still required for successful business partnership of finance in any organization.
Aby (Niski)
08 sie 2025 11:15
Because it needs human asumptions,judgements and rational thinking
Andréia (Bardzo prawdopodobne)
15 paź 2024 19:30
The main activities of integration with banks are being replaced by APIs, systems, and even robots.

Reporting activities are done by Python robots and so on.

Investment activities are being replaced by robots and AI, but we still have the issue of emotions involved. However, since companies don't usually take aggressive approaches to investments, they typically invest in fixed income.
Operational tasks are a thing of the past.
A Man (Umiarkowany)
19 kwi 2024 16:41
Analyst Mainly Scoop up the Random Info of the world into financial data sets. This part can be done well but not information gathering part
Random (Niepewny)
18 sty 2023 05:27
CEOs like to have someone talk them through the reporting documents
Kohyar Shaikh (Niski)
05 gru 2020 06:40
Since the University Industry basically is a major source of revenue and skilled migrants to many countries especially those that attract a lot of international students like The US, Canada, UK, Australia and Germany and even Turkey and Northern Cyprus. There is a small chance however that all teaching shifts online with pre-recorded stuff.
Edim (Niepewny)
27 cze 2020 20:54
Depending on the position. Entry-level it's pretty much just data entry, things that can easily be automated. On higher levels, it requires decision making, data analysis, and other skills that will be out of any computer's reach for quite some time still. Overall it's fairly safe from automation as of now. The human brain is still the single best pattern recognition system that we know of and pattern recognition is a large part of Financial Analysis.
Rafael Beckhauser
04 kwi 2021 16:16
Totally agree with Edim. Financial analysis, financial modelling and data analysis requires good skills in math, stats and risk management which influences the decision making of any enterprise, and those things only humans can do it for the next 20 years and so.
Rishi
09 maj 2023 14:19
I would really like to know your opinion now. I am currently a finance student and I'm worried about automation in finance
ANG BENG KUAN (Niepewny)
27 cze 2020 03:47
Computer automation will continue to reform financial services and portfolio analysts sector with the advent of robo advisers and financial screening applications that is able to generate systematic results and interpret such outcome into decision-making. Software applications that could filter and differentiate corporate credits, extract data and keywords in business news across web space, and portfolio simulation engine based on risk return optimization.
Dunkjoe
10 cze 2020 05:14
Looking at some of the comments, and understanding the industry, for companies employing manual procedures, yes, any job including financial analysts would be likely to be replaced by automation and AI (Smart Learning bots). However, the Finance Industry requires analysis in association with human bias and understanding, so the very nature of financial analysts is likely not replicable by automation or AI easily. Unless, everything is automated. But that would mean a large majority of jobs would be gone in every industry.
JTC (Niepewny)
05 lut 2020 16:00
New products like Qlik Sense and Qlik View automatically generate reports analysts typically do in seconds. (not in hours or days) The machine learning algorithms already can identify data insights and generate data visualizations based on the information. Financial Analysts work will shift away from data flattening to asking questions about the data. In the next decade, rather than the CFO asking questions for the lines of business to bring back information, they can text chat a bot to serve up in the information across the entire enterprise. This has implications on existing organizational hierarchies. I would expect a reduction in growth rate of this industry.
Uwe
08 sty 2020 00:40
Entry level positions might be automated, because they involve a lot of data entries which any person with a solid knowledge of Python can automate. However, more advanced positions that require more social, analytical, skills that require good decision making won't be automated soon.
Daniel
26 sie 2019 02:29
we need to take a hand and work for our pasion
Nico (Umiarkowany)
09 sie 2019 03:45
Many analysts focus only on data collection, analyses and reporting. This tasks can be automated
seb (Niepewny)
28 sie 2019 00:56
robots make terrible financial analysts. a machine can be fed information, divide it based on rules you've set for it, but it cannot make decisions or influence others because of political and socioeconomic trends.
Just-some-guy
10 kwi 2020 16:59
I think you have actually proven yourself wrong with your own statement. All 'trends' can be quantified in some way, and socio-political examples have been trends for many decades, centuries even. Further more, the statement 'rules you've set for it' is an admission of your own ignorance, since it is through development of artificial intelligence and machine learning that the likelihood of replacement through automation is even a threat to any industry. Tldr, robots are becoming better financial analysts every single day.
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