City : TORONTO, Ontario, Canada
Category : Technology | Analytics | Research
Industry : Financial/Banking
Employer : RBC
Come Work with Us!
At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.
Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.
Position Role: Quantitative Trader
The nature of finance is changing, and RBC Capital Markets is looking to recruit the next generation of Quantitative Traders to drive innovation in equity trading. Leveraging quantitative research using a mixture of sophisticated statistical techniques and AI, in combination with software engineering and trading, Quantitative Traders are responsible for conceptualizing and building sophisticated trading strategies. If solving complex problems in a fast-paced and exciting environment with a group of passionate and like-minded individuals appeals to you, the Electronic Market Making group is looking for you.
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 existing algorithms that trade millions of shares and thousands of times a second
Automation, optimization and re-engineering of desk processes and tools to increase efficiency
Daily management of trading portfolios to ensure that risk is appropriately managed
Analyze market data and trends 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
Passion for quantitative research, software engineering and mathematics
Extensive object-oriented programming experience (Java/Python/C++)
Strong background in mathematics, statistics and machine learning
Excellent communication and teamwork skills
Bachelor/Master/PhD degree in Engineering/Computer Science/Mathematics/Statistics or related field
Experience in finance NOT required
Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.