Job Description

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\xe2\x80\x99re 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.

Job Title Quantitative Research Engineer



We are seeking a highly skilled and motivated Quantitative Research Engineer to join the Quantitative Investments team at RBC Global Asset Management. As a Quantitative Research Engineer, you will collect, gather, clean, and shepherd data through alpha research, portfolio optimization, backtesting, and visualization. Your success and that of the team will be driven by your expertise in quantitative methods, financial data analysis, data validation, data governance, and data visualization combined with your passion for systematic quantitative investing and deep desire to explore and understand both established and novel financial datasets and internally derived data. You will report to the Head of Research, Quantitative Investments.

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 building and managing investment solutions. The models are data-driven and grounded in sound fundamental and economic rationale. It is a highly collaborative environment in which the research, portfolio management and systems development teams constantly interact. The team manages CAD$20bn of client investments.

What will you do?

Identify, acquire, and maintain diverse datasets to support alpha research and portfolio management of systematic equity strategies, including pricing data, fundamental accounting data, and alternative data

Verify and, where possible, improve the accuracy and completeness of historical datasets required for backtesting and other research purposes. Propose and document key assumptions required when building historical datasets

Ensure data is fit for purpose, clean, complete, and implement data validation processes to identify, flag, and rectify discrepancies or anomalies in data on an ongoing basis

Create data documentation and metadata to ensure data transparency and work with quantitative developers to ensure data is available to users via easy-to-use tools and APIs

Contribute to research engineering efforts to develop, maintain and enhance the team\xe2\x80\x99s suite of visualization dashboards

Perform complex data analysis using advanced data manipulation techniques in Tableau, SQL, Python, Matlab, and related tools

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

A passion for data and data-driven investment analysis

Bachelor\xe2\x80\x99s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

3+ years of experience in the financial industry working with financial data; experience with equity data is strongly preferred; buy-side investing experience is a plus

Strong understanding of key mathematical and statistical techniques that are used in quantitative investments including portfolio optimization, risk management and performance analysis

Expertise in data governance, data validation, and data management processes

Strong programming skills in SQL, Python, and Matlab with experience in data manipulation and analysis. Proficiency in Tableau or other data visualization tools (Qlik, PowerBI, etc.), with a strong understanding of best practices in data visualization and dashboard design

Strong collaboration skills and a pro-active approach to communication. Ability to deliver accurate results that have impact on tight deadlines

Nice to Have

Master\xe2\x80\x99s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

Completion or enrollment in CFA

Experience working with modern cloud-based data ecosystem

What\xe2\x80\x99s 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

Flexible work/life balance options

Opportunities to do challenging work

Opportunities to take on progressively greater accountabilities

Access to a variety of job opportunities across business

RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

Job Summary

Address: TORONTO, Ontario, Canada

City: CAN-ON-TORONTO

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: Wealth Management

Job Type: Regular

Pay Type: Salaried

Posted Date: 2023-07-10

Application Deadline: 2023-08-01

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.

Royal Bank of Canada