Analistas Financeiros e de Investimentos

Alto Risco
80%

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Vote Comentários (34)
RISCO DE AUTOMAÇÃO
CALCULADO
77%
(Alto Risco)
VOTAÇÃO
82%
(Risco Iminente, Com base em 1.255 votos)
Average: 80%
DEMANDA DE TRABALHO
CRESCIMENTO
9,5%
pelo ano 2033
SALÁRIOS
$ 99.010
ou $ 47,60 por hora
Volume
325.220
a partir de 2023
RESUMO
O que este floco de neve mostra?
O Floco de Neve é um resumo visual das cinco insígnias: Risco de Automação (calculado), Risco (pesquisado), Crescimento, Salários e Volume. Ele oferece um instantâneo do perfil de uma ocupação. A cor do Floco de Neve está relacionada ao seu tamanho. Quanto melhor a ocupação pontua em relação às outras, maior e mais verde o Floco de Neve se torna.
PONTUAÇÃO DO TRABALHO
5,3/10
O que é isto?
Pontuação do Trabalho (quanto maior, melhor):

Nós classificamos os trabalhos usando quatro fatores. Estes são:

- Chance de ser automatizado
- Crescimento do trabalho
- Salários
- Volume de posições disponíveis

Estes são alguns pontos chave para pensar quando estiver procurando um emprego.

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Risco de automação calculado

77% (Alto Risco)

Alto Risco (61-80%): Empregos nesta categoria enfrentam uma ameaça significativa da automação, pois muitas de suas tarefas podem ser facilmente automatizadas usando tecnologias atuais ou de futuro próximo.

Mais informações sobre o que é essa pontuação e como ela é calculada estão disponíveis aqui.

Ainda não encontramos quaisquer qualidades importantes deste trabalho que não possam ser facilmente automatizadas.

Enquete do usuário

82% chance de automação completa nas próximas duas décadas

Nossos visitantes votaram que é muito provável que esta ocupação seja automatizada. Esta avaliação é ainda mais apoiada pelo nível de risco de automação calculado, que estima 77% de chance de automação.

O que você acha que é o risco da automação?

Qual é a probabilidade de que Analistas Financeiros e de Investimentos seja substituído por robôs ou inteligência artificial nos próximos 20 anos?

Sentimento

O gráfico a seguir é exibido onde há votos suficientes para produzir dados significativos. Ele mostra os resultados das enquetes dos usuários ao longo do tempo, fornecendo uma indicação clara das tendências de sentimento.

Sentimento ao longo do tempo (trimestralmente)

Sentimento ao longo do tempo (anualmente)

Crescimento

Crescimento muito rápido em relação a outras profissões

Espera-se que o número de vagas de emprego para 'Financial and Investment Analysts' aumente 9,5% até 2033

Emprego total e estimativa de vagas de emprego

* Dados do Bureau de Estatísticas do Trabalho para o período entre 2023 e 2033
As projeções atualizadas são devidas 09-2025.

Salários

Muito bem remunerado em relação a outras profissões

Em 2023, o salário anual mediano para 'Financial and Investment Analysts' foi de $ 99.010, ou $ 48 por hora

'Financial and Investment Analysts' receberam 106,0% a mais do que o salário médio nacional, que era de $ 48.060

Salários ao longo do tempo

* Dados do Bureau de Estatísticas do Trabalho

Volume

Alcance significativamente maior de oportunidades de emprego em comparação com outras profissões

A partir de 2023 havia 325.220 pessoas empregadas como 'Financial and Investment Analysts' dentro dos Estados Unidos.

Isso representa cerca de 0,21% da força de trabalho empregada em todo o país

Dito de outra maneira, cerca de 1 em 466 pessoas são empregadas como 'Financial and Investment Analysts'.

Descrição do trabalho

Realize análises quantitativas de informações envolvendo programas de investimento ou dados financeiros de instituições públicas ou privadas, incluindo a avaliação de empresas.

SOC Code: 13-2051.00

Comentários (34)

Deixe um comentário
Greasy Banker
30 ago 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 jan 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 (Sem chance)
21 mar 2023 08:31
AI has no innovative power. It is a trend model. There is a diference in innovation and training
Goldwin (Moderado)
31 jan 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 (Baixo)
02 dez 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 nov 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 (Baixo)
01 fev 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 nov 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 (Baixo)
04 abr 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 (Baixo)
28 jun 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 (Baixo)
08 ago 2025 11:15
Because it needs human asumptions,judgements and rational thinking
Andréia (Altamente provável)
15 out 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 (Moderado)
19 abr 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 (Incerto)
18 jan 2023 05:27
CEOs like to have someone talk them through the reporting documents
Kohyar Shaikh (Baixo)
05 dez 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 (Incerto)
27 jun 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 abr 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 mai 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 (Incerto)
27 jun 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 jun 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 (Incerto)
05 fev 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 jan 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 ago 2019 02:29
we need to take a hand and work for our pasion
Nico (Moderado)
09 ago 2019 03:45
Many analysts focus only on data collection, analyses and reporting. This tasks can be automated
seb (Incerto)
28 ago 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 abr 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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