Fintech Thriving on Its Wide-Ranging Applicability

Machine learning applied to fintech is BigTerminal’s calling card
By Rahul Vaidyanath
Rahul Vaidyanath
Rahul Vaidyanath
Rahul Vaidyanath is a journalist with The Epoch Times in Canada. His areas of expertise include the economy, financial markets, China, and national defence and security. He has worked for the Bank of Canada, Canada Mortgage and Housing Corp., and investment banks in Toronto, New York, and Los Angeles.
November 8, 2017 Updated: November 10, 2017

TORONTO—In the massive world of financial services, there is plenty of room for improvement in areas ranging from payments processing and money transfers to online wealth management, lending, banking, and analytics.

Enter the fintechs—small, new, cutting-edge tech-enabled companies.

Entrepreneurs think about things in a different way, and Adam Rabie, CEO of fintech news and data analytics startup BigTerminal, senses his opportunity.

“We’re trying to do something like maybe a few years ahead of its time—it’s different,” Rabie said in a phone interview. “We’re going for a bigger payoff at a slower time frame.”

Rabie, 31, says the book is still being written on machine learning—getting computers to learn without explicit programming. His company is using it to simplify and prioritize vast quantities of information and provide key insights to financial professionals.

“Machine learning has a long history, but recently it has become the dominant paradigm for artificial intelligence, mostly due to better algorithms, more computing power, and a lot more data that we have access to,” said Nicolas Chapados, chief science officer at Element AI, in an interview.

Rabie has an economics background and is a self-taught software engineer.

BigTerminal began with his desire to “attack the Bloomberg terminal.” The Bloomberg has become ubiquitous for specialized financial markets professionals, but Rabie wanted to provide more capability than it did in analyzing historical data.

Epoch Times Photo
Adam Rabie, CEO, BigTerminal (Courtesy Adam Rabie)

His custom data analytics built up a solid base of clients, which put him in the enviable position of being able to cover his costs as a startup.

The amount of information financial professionals need to process is mind-boggling, and the field of machine learning can greatly improve the situation.

“If we can leverage that data, there’s probably a better way we help ‘de-noise’ the world for people,” Rabie said. “That’s the main goal here. There’s too much information. It’s impossible to parse through it.”

Through tagging, scoring, and sentiment indicators, Rabie says his software can simplify what’s in a 10,000-word document and get salient points to the user based on his or her preferences.

“To help knowledge workers do their jobs better, that’s definitely a big, big opportunity,” Chapados said.

Rabie’s passion is central banking—which has taken on a greater importance since the financial crisis. BigTerminal plans to launch its central bank toolkit early next year.

The big banks have armies of economists, quantitative analysts, and IT specialists devoted to analyzing central bank policy—from carefully parsing every statement to analyzing economic and financial markets data. Rabie sees the opportunity to provide predictive analytics to smaller institutional market participants that will help them uncover strategic trading opportunities.


But when it comes to finance and money, trust and security is paramount, hence the regulation. For some fintechs, it’s an added layer of de-risking needed to determine if a business is to be viable.

“Regulators are not innovators by nature,” said Michael Schlein, a fintech venture capital (VC) investor at the Toronto Global Forum on Oct. 30.

The additional roadblocks of regulation combined with an oligopoly of large banks in Canada might make for an overwhelming challenge to fintech’s propagation.

But Rabie says the big banks’ oligopoly makes them slower to innovate and that they are behind the trend in a number of technologies including blockchain and machine learning. This provides ample room for fintechs to grow.

And instead of trying to unseat the big banks, many fintechs have shifted to building partnerships with them as they try to scale up and build their customer bases.

Regulation, which Rabie says can make fintechs more cautious and conservative, isn’t a major impediment for what he wants to accomplish since his firm doesn’t manage money. A lot of the regulatory compliance burden falls on his clients.

The challenge many tech firms face—including BigTerminal—is finding the right talent to grow. The long-standing culture of financial services has typically seen financial professionals working separately from IT specialists, but fintech is bringing the two fields closer together.

“Most developers aren’t in finance. We’re trying to innovate, we’re looking for thinking outside the box to really critically approach these problems,” Rabie said.

Golden Age for Fintech

At the monthly #FinTechTO meeting on Oct. 23, Wealthsimple CEO Michael Katchen called the present time the “most exciting time in the world to be working in financial services.”

Fintech brings about greater financial inclusion. Services once only thought of as the domain of the wealthy are now fair game for anybody with a smartphone—regardless of what part of the world they’re in.

At the heart of a lot of fintech development is data—everything from personal to economic, to historical, to financial etc. Harnessing and humanizing that data has the potential to bring tremendous value added.

“Data is the most important asset we have now,” said Andrew Young, senior quantitative analyst at BigTerminal, at the Toronto Global Forum.

An August 2017 report from Deloitte and the World Economic Forum (WEF) said fintech has changed how financial services are structured, provisioned, and consumed.

“Power will transfer to the owner of the customer experience,” according to the report. A better customer experience than what the big banks provide has been the mother of invention that gave birth to fintech. Machine learning has a natural application in this space.

In the United States, VC investment in fintech is on track to hit a record of $7.58 billion in 2017, according to Pitchbook. There are about a dozen U.S. fintechs now worth over $1 billion.

“The VC space is super hot for fintech,” Rabie said. “Thankfully, we aren’t looking to raise capital right now, but it seems like if we needed to or wanted to, it’s a very attractive time.”

Toronto ranks as the second-largest financial centre in North America after New York City and is a thriving hotbed for fintech. Rabie says there’s a buzz about fintech in the city.

“Tech startups in Toronto are growing a ton, the city has become world class,” Rabie said. “I’m optimistic for the future, to be honest. Overall the trend is extremely positive.”

Follow Rahul on Twitter @RV_ETBiz

Rahul Vaidyanath
Rahul Vaidyanath is a journalist with The Epoch Times in Canada. His areas of expertise include the economy, financial markets, China, and national defence and security. He has worked for the Bank of Canada, Canada Mortgage and Housing Corp., and investment banks in Toronto, New York, and Los Angeles.