Portfolio Engineer

RBC • Toronto, ON

8d • Onsite

About The Position

RBC Global Asset Management's North American equity team based in Toronto, which manages over $125.0 billion of North American equities across institutional accounts and mutual funds, is seeking a Portfolio Engineer to join our team. We manage assets in Core, Income, Value, Growth and Alternative equity strategies in Canada, the US and Global markets. In this position, you will create quantitative tools and resources to enhance portfolio performance and the team’s fundamental investment process. This is an outstanding opportunity for the right candidate to further their understanding of financial markets in a dynamic and collaborative team environment leading to a challenging and successful career in investment management.

Requirements

• An undergraduate degree in economics, finance, computer science, mathematics or engineering
• Strong analytical skills; ability to analyze large amounts of data and process information with high levels of accuracy and attention to detail.
• Effective communication with team members and internal clients; someone who is a natural collaborator.
• Technical aptitude and comfort with technology applications and ability to quickly learn new tools and platforms
• Knowledge of an analytical or development programming language (eg. Python, R, Matlab, C#, C++).
• Foundational understanding of AI/ML concepts and their potential applications in investment research.
• A natural inquisitiveness and drive to explore new ideas about technology applications in capital markets and investing.
• A self-motivated learner with the ability to work both independently and in a small team environment.

Nice To Haves

• Experience in finance and capital markets is preferred.
• CFA Charter holder or desire and demonstrated aptitude/background to pursue CFA designation.
• Experience with Generative AI tools, prompt engineering, or LLM-based workflows.
• Knowledge of financial applications (Bloomberg, FactSet) and SQL Server database management is a plus.

Responsibilities

• Communicate with portfolio managers, research analysts and traders to understand their investment approach and requirements.
• Vividly describe all knowable risks in the portfolio, portfolio construction and risk budgeting.
• Perform research on all aspects of portfolio management (portfolio construction, risk management, security screening/selection, to name a few) and provide advice about how to incorporate new or emerging methods into the investment team’s capabilities.
• Research the team’s investment performance attribution.
• Keep abreast of research into new and emerging technologies, including artificial intelligence, machine learning and large language models (LLMs), and identify opportunities to apply these to the team’s research activities.
• Evaluate and pilot AI tools and agents to support research, analytics workflows, and portfolio management processes.
• Partner with RBC GAM’s Portfolio Engineers, Data Governance Office and Technology Group to take advantage of, and contribute meaningfully to, investment data sets, tools and analytics that are available for use by the investment team.
• Be a champion for the integration of human-and-machine across RBC GAM, including the proactive adoption of Generative AI tools and AI-powered analytics.

Benefits

• bonuses
• flexible benefits
• competitive compensation
• stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level