Job Description

What is the opportunity?

We are looking for a Lead Quantitative Research Analyst to join the Quantitative Investments team at RBC Global Asset Management (GAM).


The Lead Quantitative Research Analyst will contribute to our goal of delivering superior investment outcomes and insight to clients and other stakeholders. You will play a central role in advancing the team's agenda in machine learning and artificial intelligence providing thought leadership and driving delivery. You will apply your experience with machine learning, artificial intelligence, financial data, and quantitative investment modeling to the execution of research projects, contributing to research design, data exploration, model execution, evaluation of investment impact and, for successful models, production implementation. You will play a lead role on multi-disciplinary project teams, collaborating with quantitative analysts and engineers, portfolio managers, and technology specialists and carry projects through to completion on tight deadlines.


The Quantitative Investments team applies a rigorous scientific approach to the development and management of a suite of systematic equity investing strategies. Our models are data-driven and grounded in sound fundamental and economic rationale. Our team has a highly collaborative culture that fosters innovation and growth. We manage $25 billion in asset for our clients across a range of investment strategies.

What will you do?

Work with the head of quantitative research to drive our initiative in the area of machine learning and artificial intelligence with the aim of enhancing investment outcomes. working with the team to push ideas forward and identify opportunities to improve the team's investment models, and drive delivery Lead the team's strategic research initiative in the area of alpha generation and machine learning, and partner with the team's technology partners and data specialists in building up the team's next-generation modeling platform Thrive in a fast-paced, deadline driven and team-focused environment Collaborate effectively with multi-disciplinary project teams consisting of research analysts, portfolio managers, data specialists and technology analysts and developers Remain at the cutting edge of research and development in quantitative investment and financial data science recognizing that we must continually evolve our investment skills and processes Creatively apply your deep expertise in quantitative investing and data science to answer research questions Embody the following cultural edges: curious, open-minded and adaptable; eager to learn and motivated to continually improve; driven by the sense of urgency required to thrive in an era of rapid disruption; highly collaborative; and committed to a rigorous and scientific approach

What do you need to succeed?

Must Have

5-7+ years of research experience Experience and successful track record in quantitative equity investing Experience and successful track record of applying machine learning and artificial intelligence, and working with financial data Demonstrated strong leadership and mentoring capabilities. Strong communication and organizational skills An exceptional level of curiosity, creativity in research and problem-solving, and a strong drive and focus on driving investment impact through research Master's degree in data science, finance, applied economics/econometrics/statistics, applied science or related field Possession of a strong technical skills required to implement data-intensive quantitative research

Nice to Have

Completion or enrollment in CFA

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Access to a variety of job opportunities across business

Job Skills

Artificial Intelligence (AI), Collaborating, Communication, Decision Making, Detail-Oriented, Financial Data, Leadership, Machine Learning (ML), Portfolio Construction, Portfolio Performance Analysis, Quantitative Investment, Quantitative Methods

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-10-22

Application Deadline:

2025-11-12

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

I

nclusion

and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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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 jobs.rbc.com.