재무 및 투자 분석가

77% (고위험)

고위험 (61-80%): 이 범주에 속하는 직업은 현재 또는 가까운 미래의 기술을 사용하여 쉽게 자동화될 수 있는 많은 업무를 수행하므로 자동화로부터 중대한 위협을 받고 있습니다.

이 점수가 무엇인지, 그리고 어떻게 계산되는지에 대한 자세한 정보는 여기에 있습니다.

사용자 설문조사

감정

다음 그래프는 의미 있는 데이터를 제공할 수 있을 만큼 충분한 투표 수가 있을 때마다 포함됩니다. 이러한 시각적 표현은 시간 경과에 따른 사용자 투표 결과를 보여주며, 감정 추세에 대한 중요한 지표를 제공합니다.

임금

다른 직업에 비해 매우 높은 급여를 받는다.

2023년에 'Financial and Investment Analysts'의 중앙값 연간 급여는 $99,010이며, 시간당 $47입니다.

'Financial and Investment Analysts'은 전국 중위임금인 $48,060보다 106.0% 더 높은 금액을 지불받았습니다.

시간에 따른 임금

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Leave a comment

Andréia (매우 가능성이 높음) 2 months ago

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.

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A Man (적당한) 8 months ago

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

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Marten (매우 가능성이 높음) 1 year ago

It is basically just looking at numbers and analysing them, wich can easily be done by an AI.

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Atanu (기회 없음) 1 year ago

AI has no innovative power. It is a trend model. There is a diference in innovation and training

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Random (불확실한) 1 year ago

CEOs like to have someone talk them through the reporting documents

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Greasy Banker 2 years ago

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.

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Tom 12 months ago

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.

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Rafael Beckhauser (낮은) 3 years ago

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.

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Kohyar Shaikh (낮은) 4 years ago

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.

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Edim (불확실한) 4 years ago

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.

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Rishi 1 year ago

I would really like to know your opinion now. I am currently a finance student and I'm worried about automation in finance

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Rafael Beckhauser 3 years ago

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.

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ANG BENG KUAN (불확실한) 4 years ago

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.

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Dunkjoe 4 years ago

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.

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Nick (매우 가능성이 높음) 4 years ago

Because its literally just reading back results of formulas. Machine Learning can do the formulas and A.I. can interpret the results

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JTC (불확실한) 4 years ago

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.

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Uwe 4 years ago

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.

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Duncan (매우 가능성이 높음) 5 years ago

It is just repetitive date entry.

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Daniel 5 years ago

we need to take a hand and work for our pasion

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Nico (적당한) 5 years ago

Many analysts focus only on data collection, analyses and reporting. This tasks can be automated

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seb 5 years ago

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.

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Just-some-guy 4 years ago

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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kim (적당한) 5 years ago

it's just statistics and analysis.

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Malek Salibi (낮은) 5 years ago

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.

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Razvan. (적당한) 5 years ago

In the company I work for, Financial Analyst positions have been already moved to other location where the salaries are lower. Also, Sales and Cash Flow are now being predicted using Artificial Intelligence

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