The purpose of this post will be to go over a few of the different Canadian companies that feature a quantitative trading element in their business and go slightly deeper into the details regarding it. For lots of these larger financial management companies, they are multifaceted organizations and are not necessarily only focused on quantitative and algorithmic trading, however, for all the companies, they play a large enough role in the industry to be of interest for someone looking to work in the quantitative finance field.
The main target of this article will be more so directed at those looking to break into the industry and will go over the important factors to consider when looking into working for one of these companies. The article will go over the backgrounds of the different companies selected as well as an overview of the different types of quantitative positions they offer and what is required to be a successful candidate for the job.
The first and largest company on the list is the Royal Bank of Canada If you live in Canada, it’s likely you’re no stranger to RBC and may even be a customer of theirs. Founded in 1864, RBC is the largest bank in Canada by market capitalization, given its 17 million clients and 81,000 employees around the world. From personal to corporate banking, RBC offers a very diverse set of financial services for the average consumer, but the main aspect that will be focused on here will be regarding the different funds managed by the quantitative financial team at RBC.
The quantitative team at RBC is known as the Quantitative Strategies Group, or in short, QSG. The QSG at RBC manages 14 different funds which are all controlled by the quantitative systems put into place by the team. The differences in the funds mostly revolve around the equities that are being traded, for example, some funds trade with global equities, while others are either Canadian or American only. Additionally, the funds have different levels of estimated volatility based on the aggressiveness of the trading styles and also the portfolio selection. The main goal of all these funds, as is with most quantitative trading, is to deliver consistent and positive returns.
QSG breaks down their team into three major proponents, this being Research, Development and Trading. Research is what would entail the statistical methodologies, machine learning and analysis of alternative data. Development is the implementation of strategies into production-level code and also the creation of backend systems required for the algorithmic trading functionality. Finally, their trading component is mostly to do with the live execution and monitoring of trades and the analysis of current market conditions to improve and create new strategies.
In terms of actual job positions, most likely, the most relatable position for those reading this article is the Quantitative Strategies Group Summer Analyst. This position would get you a spot on the QSG team as an intern and give you great experience as a part of RBC’s quantitative trading team. This is a competitive position that is stationed in New York which requires you to apply about a year in advance. As an intern here, you are expected to get experience trading a wide range of assets including equities, electronically traded funds, options, futures and more. To be a candidate for this position, you are expected to be in your third year at the time of application while studying Math, Physics, Engineering or Computer Science. In terms of technical skills, they look for experience with Python, R, MATLAB or C++.
While an intern position is what most will be looking for as a student, RBC obviously still offers full-time positions on the QSG team which require a slightly more diverse set of experiences. Being the large company RBC is, working here would offer very high-quality job training, extensive learning opportunities, however, working for huge, structured organizations is not always for everyone.
Connor, Clark & Lunn Financial Group
While Connor, Clark, & Lunn Investment Management, also known as CC&L, is not a multinational bank like RBC, it is still a rather large institution with a big presence in quantitative finance. CC&L was founded in 1982 by Larry Lunn and has since grown into one of the largest independent investment management firms in Canada with $55.9 billion under management. CC&L has offices in Toronto and Vancouver and manages money for corporations, governments and First Nations.
As an investment management firm, CC&L offers a handful of different investment strategies including fixed income, fundamental equity and most important for the purpose of this article, quantitative equity. Inside of the quantitative equity strategies, CC&L further breaks up their services similar to the way RBC does. CC&L offers quantitative strategies in markets such as Canadian equities, international equities, global equities and emerging market equities.
CC&L has a general performance goal when evaluating its quantitative strategies. For all of their strategies, they strive to outperform the S&P/TSX Composite index by 2% over per annum. CC&L also has a few less quantifiable but important goals. At CC&L, they believe in the strong connection between fundamental research, quantitative theory and empirical evidence in order to attain success in their field. Considering this, they hold large importance on constructing the most optimized portfolio for the quantitative analysis being performed.
At CC&L, the roles of the employees are slightly different than those at a company as diverse as RBC. When looking at the quantitative team at CC&L, there are three main categories of positions, the first being a Systems Developer. This position, being one of the less quantitative-focused positions, focuses on building the technical infrastructure for the quantitative trading to take place. While the technical analysis of assets is less important in a role like this, an understanding of financial markets is a must in order to understand the transaction processes required to implement the desired systems.
On the more quantitative side, positions such as the Quantitative Researcher and Developer may be of more interest. At CC&L, a Quantitative Researcher spends their time discovering and learning about new analytical and financial opportunities in the quantitative space. They iterate upon what they have implemented in the past and also develop new strategies that they believe will bring the highest rates of return while mitigating risk and staying consistent. The other main position at CC&L is the Quantitative Developer which has a heavy focus on implementing the strategies researched by the Quantitative Researchers. Getting more technology specific, CC&L looks for candidates with strong Python, Java and C# programming skills. While there is no marketed internship program, CC&L offers great opportunities in a full-time environment to apply your skills and learn from the technically advanced people around you.
Healthcare of Ontario Pension Plan
Unlike the past two companies, the Healthcare of Ontario Pension Plan, also known as HOOPP, has a more privatized customer base, given it manages only this pension plan for Healthcare Ontario. While this may be the case, this organization still manages $100 billion and over the past year has earned a return of %11.42. The HOOPP does have a diverse set of strategies in place, focusing on fixed income, real estate, public equities, corporate credit and more but also has a strong presence in the quantitative finance space.
While the HOOPP features a team of fundamental researchers and analysts, they also have a team made up of their IT division that performs the quantitative trading and analysis for them. Recently, HOOPP has been trying to further develop this aspect of their management team and considered this quantitative and systematic Trading and investment risk management team to be something of growing importance.
While the different markets and equities this HOOPP team works with are not as readily available as those of the companies above, they do mention the different data mining and engineering that they do in order to create and manage proprietary data they use in their interesting quantitative analysis.
Like just about all the other quantitative trading teams, HOOPP looks for candidates with an education background in Mathematics, Computer Science, Statistics or Engineering. Besides mathematical interest, they also look for a strong interest in finance and capital markets in order to be considered as a potential Quant at HOOPP. Additionally, as the positions get more senior, HOOPP also expects their employees to be Chartered Financial Analysts, CFA or Financial Risk Managers, FRM.
On the more technical side, HOOPP looks for an understanding of systematic investment strategies, portfolio theories, execution and pre/post-trade analytics, market microstructure and of course quantitative techniques. When looking at the programming aspect, HOOPP looks for experience with Java, C, C#, Python and SQL while also having an understanding of software development methodologies.
Another aspect of the application that other companies did not explicitly state was the importance of communication skills and more specifically the ability to communicate with those who are less technically versed.