재무 및 투자 분석가

A Man (적당한)이 말합니다.

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

Marten (매우 가능성이 높음)이 말합니다.

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

Atanu (기회 없음)이 말합니다.

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

Random (불확실한)이 말합니다.

CEOs like to have someone talk them through the reporting documents

Greasy Banker이 말합니다.

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.

Rafael Beckhauser (낮은)이 말합니다.

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.

Kohyar Shaikh (낮은)이 말합니다.

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 (불확실한)이 말합니다.

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.

ANG BENG KUAN (불확실한)이 말합니다.

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.

Dunkjoe이 말합니다.

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.

Nick (매우 가능성이 높음)이 말합니다.

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

JTC (불확실한)이 말합니다.

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.

Uwe이 말합니다.

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.

Duncan (매우 가능성이 높음)이 말합니다.

It is just repetitive date entry.

Daniel이 말합니다.

we need to take a hand and work for our pasion

Nico (적당한)이 말합니다.

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

kim (적당한)이 말합니다.

it's just statistics and analysis.

Malek Salibi (낮은)이 말합니다.

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.

Razvan. (적당한)이 말합니다.

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

Ahmed (불확실한)이 말합니다.

There are currently some computer applications that can perform portfolio analysis tasks