Level

RBC

Senior Quantitative Research Analyst

RBC is hiring a Senior Quantitative Research Analyst in Minneapolis, United States. It pays $90k-$160k a year and Level rates it ; you can apply on RBC.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • RBC has 837 other open roles on Level.
  • Posted in the last few days.

AI in this role

Job Description

What is the Opportunity?

 

Global Manager Research (GMR) is a team of analysts dedicated to providing investment manager research and due diligence in support of RBC’s global businesses and distribution platforms. The broader team consists of investment professionals located in Minneapolis, Toronto, Asia and London and supports an asset base in excess of $650 billion USD. The team conducts initial and on-going research, analysis and due diligence of investment management firms offering mutual funds, separately managed accounts, exchange-traded funds, and sub-advisory relationships.

 

The primary responsibility of the Senior Quantitative Research Analyst is to oversee all aspects of the quantitative tools and methods used to monitor, score, and source investment managers. This includes maintaining and improving existing tools, as well as creating and designing innovative tools that improve the efficiency, consistency and effectiveness of the research and due diligence process.

  

 

What will you do?

 

  • Responsible for solution design, testing, and implementation of investment manager monitoring and sourcing tools
  • Lead key aspects of a quantitatively driven research projects from scoping, analyzing, developing, and execution
  • Create and document procedure to ensure consistency and repeatability
  • Deliver meaningful and timely insight, published reports, and recommendations for action to analysts and appropriate investment committees
  • Support and troubleshoot existing processes and implement change requirements as needed to maintain high level standards of deliverables
  • Seek to continually enhance skills and build knowledge in all aspects of the technical systems and tools
  • Mentor and develop team members to strengthen quantitative research capabilities and provide leadership through actions, knowledge, and experience
  • Foster cross-border collaboration across all four GMR teams and key stakeholders
  • Cultivate and manage strategic relationships with key internal and external partners

 

 

 

What do you need to succeed?

Must-have:

  • Undergraduate degree with preferred concentration in computer science, statistics, math or finance
  • Minimum of 5 years of work experience, including at least 2 years of experience in the development and implementation of quantitative systems
  • Strong foundation of investment industry fundamentals: asset classes, investment types, manager strategies and performance/risk metrics
  • General understanding of current financial markets and economic conditions
  • Strong attention to detail with rigorous analytical diligence
  • Capacity to problem solve and resolve issues that arise in the day-to-day creation and maintenance of processes and tools
  • Proven ability to lead independently with minimal supervision and demonstrate high-level performance
  • Ability to collaborate effectively within a team environment
  • Adaptable to changing market conditions and evolving business priorities

 

Technical Qualifications:

  • Proficient technical skills with strong capabilities including Advanced Excel, Python, JavaScript (D3.js, Leaflet.js), HTML5/CSS, API Interactions, Social Media Mining, SQL, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, ETL/ELT
  • Experience with database design, normalization, and data modeling (e.g., entity-relationship diagrams)
  • Proven track record in the implementation and integration of complex technologies and cross-functional projects
  • Knowledge of AI tools and proactive in exploring and implementing AI-driven solutions to enhance productivity and workflow
  • Demonstrated curiosity about technological innovation combined

 

Nice to Have:

  • Proficient in higher level programming or a strong desire to read, understand and comprehend coding
  • Solid understanding of investment analytical tools including Morningstar Direct, Factset, eVestment and Bloomberg
  • Willingness to pursue CFA/CAIA designation and other educational opportunities

 

 

 

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
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work

 

 

For Minnesota: The good-faith expected salary range for the above position is $90,000 - $160,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs.  This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

  • Drives RBC’s high performance culture
  • Enables collective achievement of our strategic goals
  • Generates sustainable shareholder returns and above market shareholder value

 

 

 

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Job Skills

Communication, Critical Thinking, Detail-Oriented, Financial Instruments, Investment Banking Analysis, Investments Analysis, Personal Development, Personal Initiative, Quantitative Methods, Risk Management

Additional Job Details

Address:

250 NICOLLET MALL:MINNEAPOLIS

City:

Minneapolis

Country:

United States of America

Work hours/week:

40

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-10-20

Application Deadline:

2026-11-09

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

How we rate this

Senior Quantitative Research Analyst at RBC rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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