How has artificial intelligence shifted the job market? And how substantially will it continue to do so in the future? Learn all about it.


3 Ways Artificial Intelligence Has the Power to Impact the Financial Job Market

It is undeniable that artificial intelligence holds a transformative influence across each and every business sector. The financial job market is no exception. Let’s dive deeper into the matter.

Opportunities and challenges

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When it comes to the impact of artificial intelligence in the job market, opportunities and challenges go hand in hand. Particularly in the financial field, artificial intelligence can enhance automation, improve analysis and support decision-making.

On the other hand, innovations in artificial intelligence also present risks that are able to potentially affect the fragility of the financial markets. Overall, artificial intelligence has the capacity to improve the workflows in the financial industries thanks to its processing and structuring of data.

Restructure of the labor market

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In the financial labor market, job cuts, increasing efficiency and job creation are all noticed at the same time. If the core value of a job relies on its manual work, then artificial intelligence poses no risk to the respective workers. However, if artificial intelligence has the power to perform and even improve the value of a certain job, cuts ensue.

Jobs that can easily be replaced are mostly those based on standardized tasks. However, there is a rapidly growing demand for other types of jobs, a phenomenon that is a reality only because of the evolution of artificial intelligence.

Now, professionals who are equipped with strong problem-solving skills and are capable of efficiently responding to the changes in the market are more valuable than ever. They are the ones needed to lead the workforce in the era of artificial intelligence.

Shifting demand and diverse skills

financial job market machine - 3 Ways Artificial Intelligence Has the Power to Impact the Financial Job Market

The demand for professionals continues to irreversibly change due in great part to artificial intelligence. The demand is significantly lower for job positions comprised of manual and cognitive tasks.

Simultaneously, it is in constant growth for talents whose skill set centers around communication, creation, logic, creativity and technology. In the financial labor market, the next wave of recruitment trends will much likely be founded on the following considerations.

Employers will hunt for candidates with, at least, basic knowledge in artificial intelligence, and the best combination of soft skills. As machines and software brought to existence by artificial intelligence will be able to perform a wide range of activities, job seekers need to keep focusing on developing their soft skills.

Why? Because a big part of the technical components of their job will be in charge of technological innovations. With a diverse skill set, applicants will be eligible to work in a broad selection of industries.

In conclusion, the impact of artificial intelligence in the job market is a continuous tale of balancing opportunities and threats, improvements and struggles.


The 3 Most Promising Careers in Artificial Intelligence

Curiously enough, the rapid evolution in artificial intelligence is generating a high demand for more human resources. Which are some of the most promising careers in today’s artificial intelligence landscape? Here is our top 3.

Machine learning engineer

Machine learning engineers are some of the most highly in-demand professionals in the field of artificial intelligence. Because of that, someone working in the area can grant yearly salaries of up to six figures.

In most cases, a machine learning engineer is responsible for developing and managing platforms specifically created for machine learning projects.

The professional is at the very core of artificial intelligence. So, it is essential that job seekers have a background in data science, computer science, mathematics or applied research, and that they have a solid understanding of programming languages.

It is also preferred that candidates have training or experience in dealing with the top software development tools. Needless to say, applicants must have top-notch analytical skills.

Data scientist

Data scientists are in charge of gathering, analyzing and inferring large datasets. They do so by leveraging machine learning and predictive analytics. A data scientist also plays a central role in collecting and cleaning data for analysis.

Salaries for data scientists can even reach higher values than those of machine learning engineers. Someone applying for a data science vacancy should feel comfortable with multiple platforms, tools and languages, including Hive, Hadoop, Spark, Perl, Python, SQL, among others.

Applicants should have an academic background in computer science, mathematics or electrical engineering. Two years of experience in previous machine learning positions are very often mandatory.

Besides great analytical skills, data scientists also need to be strong professionals in terms of communication, so that they can efficiently communicate their complex findings to business leaders.

Business intelligence developer

As is the case with a professional in data science, a business intelligence developer carries the main responsibility of analyzing data sets. However, the latter, also known as BI developer, does it as a way to identify trends in business and in the market.

Someone performing the role of a business intelligence developer is key when it comes to enhancing the effectiveness and profitability of a business. Annual salaries for these team members can reach up to just shy of six figures.

Usually, the business intelligence developer is the one in charge of designing, maintaining and managing data in cloud-based platforms. Solid technical and analytical skills are indispensable. On top of that, focus on communication and problem-solving is very much necessary.

Luckily for many, candidates armed with only a bachelor’s degree are eligible to start building a fulfilling career in business intelligence development. The preferred backgrounds are in computer science, engineering or mathematics.

Even without one of these, a strong combination of experience and training certifications can suffice and, actually, be highly desirable.

Artificial intelligence has created job opportunities absolutely unthought-of just a few years ago. The three fabulous careers above prove it.

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