财务和投资分析师

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.

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

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.

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

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.

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.

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.

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.

Because it needs human asumptions,judgements and rational thinking

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.

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

CEOs like to have someone talk them through the reporting documents

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.

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.

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.

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.

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.

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.

we need to take a hand and work for our pasion

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