The finance industry is banking on AI -- and they're creating new jobs to bridge the gap. Traditional financial institutions and fintech start-ups alike are looking for more candidates who specialize in artificial intelligence, machine learning and data science. According to reporting by Bloomberg reporting and data from LinkedIn, job listings requiring these skills in the financial industry increased nearly 60% in the past year. According to Glassdoor data, "some of the most common job openings in AI and finance are for machine learning engineers and data engineers, among other highly specialized software engineering roles," Glassdoor senior economist Daniel Zhao tells CNBC Make It. "We're also seeing job openings for workers who can help navigate the AI landscape, including consultants and researchers. As companies establish the foundations for their AI functions, we're seeing employers hire more senior candidates to lead these new teams."

The number of people working across the global capital markets will fall by almost a fifth in the coming decade as a wave of artificial intelligence and automation hits the industry, according to estimates from consultancy Opimas. Headcount at capital markets institutions will decrease by some 400,000 to 1.7 million between now and 2030, Opimas said in its Workforce of the Future report, with the investment industry set to be the hardest hit as it battles both the rise of new technologies and falling fees.

Machine learning is actively used to solve many problems today. Take for example, the text messaging function on your iPhone. It uses machine learning to try to predict the next word in the sequence. Google Translate applies machine learning to translate between languages. I can cite countless similar examples of application, which we use on everyday basis, which have machine learning at their core.

Machine learning is actively used to solve many problems today. Take for example, the text messaging function on your iPhone. It uses machine learning to try to predict the next word in the sequence. Google Translate applies machine learning to translate between languages. I can cite countless similar examples of application, which we use on everyday basis, which have machine learning at their core.

Machine learning jobs are supposed to be the big new thing in financial services. After all, Goldman Sachs has created an elite new AI team, J.P. Morgan's assigned ex-credit trader Samik Chandarana to develop machine learning strategies and has already unleashed LOXM, a new self-teaching trading algorithm, and UBS CEO Sergio Ermotti says 30% of banking jobs are due to dissolve because of this kind of automation in the next 10 years. It might seem therefore that you should be positioning yourself now to chase machine learning jobs (even though Bank of America CTO Catherine says you're already too late). But what if the finance jobs of the future are a lot less exciting than the finance jobs of the past? This is a possibility raised by Saeed Amen in a new blog post.

The SEC's rules, created to protect the investors, require that advisers adhere to a fiduciary standard by which they unconditionally put the client's best interests ahead of their own. Concerned US regulators have asked whether it is practical for robots to follow rules when their decisions and recommendations are generated not by ratiocination but by algorithms.

From loan officers to data analysts to financial advisers and the automation of the back end finance processes, automation is making an impact on the finance industry with greater advancements to come in the next decade. For an industry that is based on processing information, it is of little surprise that the finance industry faces a huge threat from automation. According to research by Oxford academics released in late 2013, they suggested that the financial industry had more jobs, approximately 54 percent, at high risk compared to any other skilled industry. Automation of jobs is happening right now and as machine learning progresses, more and more higher-paying jobs, like the medical industry, which we previously thought immune, are starting to be altered. This market snapshot will look at what impact automation is having on the finance industry, with a particular focus on the back-end finance processes after a Q&A session with Steve Palomino, Director of Finance Transformation at Redwood Software.