Banking, Finance, Insurance, Real Estate

Strong Impact of AI on this Job


level of automation


Our comments:

Artificial intelligence and automation have already profoundly transformed trading, especially high-frequency trading, where algorithms execute transactions in a matter of milliseconds. Algorithms are also used to analyze massive volumes of real-time data and make buying or selling decisions.

However, for some complex and strategic transactions, as well as risk and ethics governance, human judgment remains indispensable. Overall, trading is one of the most automated professions in the financial sector.

This section reviews the 3 main tasks associated with the job studied and assesses the potential level of automation induced by AI ('AI Automation Impact').
The modeling uses 8 criteria detailed on the 'Methodology' page.
Tasks AI Automation Impact
Buy and sell financial instruments, such as stocks, bonds, currencies, or commodities, based on market opportunities. High
Continuously analyze economic data, financial news, and market trends to make informed decisions. High
Manage risks associated with transactions, adhering to limits set by the bank or financial institution. High
Through our research, we have identified two pivotal categories of skills that will be impacted by AI-driven automation :
  • 'At-risk skills,' which are likely to become obsolete due to their susceptibility to automation
  • 'Future-proof skills', which are projected to retain their value and resist automation, thereby ensuring their relevance in the forthcoming job market.
Let's have a look at the future of your skills for this job :
At-risk Skills
Quantitative analysis The advent of high-frequency trading algorithms and automatic analysis systems is impacting the quantitative dimension of analysis. These are gradually being replaced by algorithms capable of analyzing vast amounts of data at a speed that humans cannot match
Trend monitoring Algorithms can now automatically monitor markets 24/7, detect the slightest price movements, and trigger transactions based on predefined criteria. This reduces the need for human traders to constantly monitor real-time data, as AI can handle this task with greater precision and speed.
Future-proof Skills
Risk management Even though algorithms can assist in risk assessment, human judgment remains crucial. Traders must be able to evaluate market scenarios, anticipate the consequences of unforeseen global events, and apply nuanced understanding of human behavior and economic motivations
Data interpretation Although algorithms can now analyze news to adjust their trading strategies, the ability to understand context, interpret ambiguous information, and predict human reactions to major events remains a distinctly human skill.

How does AI impact this job type ?
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