The term “operational efficiency” is not new, and in fact, applies to many industries because it works toward a common goal: to optimize operations so they provide greater returns – whether they be faster time to market, greater volume and/or increased revenue – relative to inputs.
With the introduction of the Financial Services Act (FinSA) in Switzerland, the regulatory noose is tightening for international providers of financial services to Swiss clients. Although FinSA will not be fully implemented until January 1, 2020, preparations are well underway, and affected providers will need to study up on the new rules to ensure they are in full compliance—or face punishing penalties.
Societies face a stark reality: their 65-plus members are claiming a rapidly increasing population share. Japan may be the guinea pig in this predicament; in the Land of the Rising Sun, the death rate already eclipses the birthrate. How the innovation-savvy Japanese respond will be a model for other countries that will follow in their footsteps. Will Japan’s empathy for its elders be duplicated elsewhere, especially in financial industries?
Digitally native customers are driving banks to jump into the future by embracing technological breakthroughs such as artificial intelligence, machine learning and robotic process automation. And in the process, banks are discovering the many advantages of these innovations, from cutting down on costly human errors to improving everything from fraud management, operational efficiency and trading. As they progress through their digital evolutions, many are reinventing themselves for the better.
When A.G. Bell invented the telephone, he had no idea that less than a century and a half later, the phone would be used to talk through—and text, shop, even bank with. Smartphones are small enough to be held in one’s hand and big enough to handle nearly any function. How are banks making fraud-vulnerable processes such as onboarding fast, efficient and secure by verifying the identity of customers?
If last year was any indication of what financial markets will look like in 2019, we are in for a very bumpy ride. Last December alone, the Dow Jones Industrial Average fell and rose more than 8 percent as finance experts struggled to make heads or tails of a bizarre political climate, unsteady interest rates and global tariffs.
Combating money laundering is no longer a choice but a must for banks. But the effort that must go into fighting it is daunting. How can technology, especially artificial intelligence and machine learning, battle the costs and drains on monetary and human resources required for AML compliance, making the whole process a lot easier and more effective? Can AI be trusted to do the job right?
Talent does tend to follow the money, which is one reason why remunerative financial careers have lured many of the brightest and the best. Critics argue that this talent drain is a drain on the prosperity and growth of the economy, diverting the most qualified to less valuable jobs; but do statistics indicate that financial jobs may instead produce a net societal benefit?
As ea Change Group celebrates its 20th anniversary, its founder, Steve Robson, provides an insight into how recruiting for the financial world has changed and considers what its future may hold.