2027 Capital Markets, Global Equities, Quantitative Trading Analyst (16 Months, Co-op)

Job Description

Step into the future of trading with RBC Capital Markets! We’re seeking a Quantitative Trading Analyst to join our Equites team on the largest trading floor in Canada. You will harness advanced quantitative techniques to innovate and optimize our trading strategies. Dive into data analysis, build cutting-edge trading models, and collaborate with top-tier professionals to drive success in a high-energy environment. Global Equities As a key part of Global Equities, our team is dedicated to advancing and refining equities trading strategies and systems globally. We are widely recognized for our forward-thinking approach and our commitment to fostering both innovative and a collaborative culture within the financial industry. By joining this team, you will contribute to and spearhead projects with direct, real-world impact on RBC Capital Markets’ daily operations. Our team members bring a diverse set of skills, ranging from creative problem-solving to advanced quantitative modeling, and apply these to enhance and develop cutting-edge trading systems. Notable achievements include RBC’s patented smart order routing technology, THOR (featured in Michael Lewis’ book Flash Boys), and the creation of Canada’s first artificial intelligence-powered trading network.

Equities Trading Desks Hiring

Electronic Market Making Electronic Algo Trading ETF Trading Structured Products Trading Delta One Trading Options Flow Trading What will you do? You will join a specific Equities team to work with throughout the duration of your internship. The roles and responsibilities will vary depending on the team you are assigned to but could include: Research, create, and implement quantitative trading strategies using optimization and cutting-edge machine-learning techniques Apply critical thinking and problem-solving skills to expand already-existing algorithms that trade millions of shares and thousands of times a second Analyze market data to investigate previously unexplored