JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Quantitative Trading Analyst
Job Location:	Toronto, Ontario
Job Location Type:	On-Site
Number of Positions:	1
Salary:	$0.00 hourly for 0.0 hours per week
Start Date:	05/01/2024
End Date:	08/29/2025
Job Function:	Engineering
Job Description:	The Algorithmic & Quantitative Trading group is seeking students with creative and structured thought processes who have an interest in the fast-paced world of electronic trading. Global Equities – Systematic Trading If working in a fast-paced and exciting environment with a group of passionate and like-minded individuals appeals to you, the Systematic Trading group is looking for you. As a member of Global Equities, the team is responsible for continuously improving and creating new automated execution strategies covering North American equities and is widely known as one of the most progressive groups in finance in terms of both culture and innovation. By being a part of the team, you will contribute to and start new projects that have real-world and significant impact on how RBC Capital Markets does business on a daily basis.  Members of the team possess a diverse set of skills ranging from creating thinking to quantitative modeling and machine learning and apply them to market structure research and algorithmic trading strategies. Past accomplishments have included RBC's patented smart order routing technology known as THOR (as mentioned in "Flash Boys") and Canada’s first artificial intelligence trading network. What will you do? 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 structural research areas Think critically and creatively within a collaborative and close-knit team working on Canada's largest trading floor
Job Requirements:	The Algorithmic & Quantitative Trading group is seeking students with creative and structured thought processes who have an interest in the fast-paced world of electronic trading. Global Equities – Systematic Trading If working in a fast-paced and exciting environment with a group of passionate and like-minded individuals appeals to you, the Systematic Trading group is looking for you. As a member of Global Equities, the team is responsible for continuously improving and creating new automated execution strategies covering North American equities and is widely known as one of the most progressive groups in finance in terms of both culture and innovation. By being a part of the team, you will contribute to and start new projects that have real-world and significant impact on how RBC Capital Markets does business on a daily basis.  Members of the team possess a diverse set of skills ranging from creating thinking to quantitative modeling and machine learning and apply them to market structure research and algorithmic trading strategies. Past accomplishments have included RBC's patented smart order routing technology known as THOR (as mentioned in "Flash Boys") and Canada’s first artificial intelligence trading network. What will you do? 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 structural research areas Think critically and creatively within a collaborative and close-knit team working on Canada's largest trading floor   Core Competencies: Creative and novel problem solving approach Strong math and statistics background Strong programming experience e.g. Python Experience in statistical modeling Proficiency in optimization and Bayesian statistics Strong desire to be part of a team and excellent communication skills Experience in finance not required
Preferred Disciplines:	Computer Engineering Computer Science Electrical Engineering Engineering Science (Electrical and Computer) Engineering Science (Machine Intelligence) Engineering Science (Math, Stats & Finance) Data Science Math & Stats
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Oct 15, 2023 11:59 PM
Application Receipt Procedure:	Online via system
U of T Job Coordinator:	Kaisa Moran

ORGANIZATION INFORMATION
Organization:	RBC Capital Markets
Division:	Capital Markets
Website:	https://www.rbccm.com/en/expertise/electronic-trading

ADDITIONAL INFORMATION
Length of Workterm:	FIXED PEY Co-op: 16 months