Job Description

What is the opportunity?

The Quantitative Investments team at RBC Global Asset Management (GAM) team is looking for a research analyst with experience in quantitative equity investing who is looking for an opportunity to be a key contributor in the development and enhancement of systematic investment processes. The research analyst will execute research projects, contributing to initial proposal, data validation, hypothesis testing, measurement of investment impact and implementation. You will play a critical role on multi-disciplinary project teams and carry projects through to completion on tight deadlines. You will collaborate with quantitative researchers, portfolio managers, and technology specialists.


The Quantitative Investments team employs a systematic quantitative approach to the management of equity strategies implemented via mutual funds, hedge funds, segregated accounts and ETFs. The team takes a multi-factor approach to investment solutions. The models are data-driven and grounded in sound fundamental and economic rationale.

What will you do?

Thrive in a fast-paced, deadline driven and team-focused environment Implement and execute quantitative research in the areas of alpha generation, risk management, portfolio construction and implementation 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 investments recognizing that we must continually evolve our investment skills and processes Creatively apply your deep expertise in one or more critical skill areas to answer research questions. Skill areas include empirical finance, portfolio theory and optimization, accounting, statistics and machine learning, applied mathematics, and data science Embody the following culture edges: Curious, open-minded and eager to learn; 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

An exceptional level of curiosity, and a strong drive and focus on driving investment impact through research 3+ years of research experience in quantitative finance applications; buy-side quantitative investing experience is strongly preferred Bachelor's or, preferably, Master's degree in Finance, Applied Economics/Econometrics/Statistics, Engineering, or Applied Science Creativity in research and problem-solving Possession of a broad set of technical skills as required to implement data-intensive quantitative research: programming experience in Python (scientific-computing stack), Matlab, SQL and related languages Strong communication and organizational skills

Nice to Have

Expertise in quantitative investing, empirical asset pricing, portfolio theory, machine learning, numerical optimization, and/or financial data science 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

Job Skills

Adaptability, Asset Management, Communication, Creativity, Curiosity, Databricks Platform, Data Handling, Detail-Oriented, Econometrics, Equity Investments, Investments Analysis, Machine Learning, Mathematical Optimization, MATLAB, Pandas Python Library, Portfolio Construction, Python for Data Analysis, Quantitative Analytics, Quantitative Investment, Quantitative Research, Statistics, Teamwork

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:

2025-08-18

Application Deadline:

2025-08-29

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.