Senior Quantitative Research Analyst

rbc; Minneapolis (MN); On-site; USD 90,000 - 160,000; Full time

Benefits offered by this job

Bonuses

Flexible benefits

Stock awarded

Job summary

RBC’s Global Manager Research (GMR) in Minneapolis seeks a Senior Quantitative Research Analyst to oversee quantitative tools for monitoring and sourcing investment managers. You will lead research projects, design solutions, document procedures, and deliver insights to analysts and investment committees.

The role requires 5+ years in quantitative systems, strong finance fundamentals, and collaboration across teams.

Qualifications

• Undergraduate degree with preferred concentration in computer science, statistics, math or finance.
• 5+ years of work experience, including at least 2 years in 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 in 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.

Responsibilities

• Responsible for solution design, testing, and implementation of investment manager monitoring and sourcing tools.
• Lead key aspects of quantitatively driven research projects from scoping, analyzing, developing, and execution.
• Create and document procedures to ensure consistency and repeatability.
• Deliver meaningful and timely insight, published reports, and recommendations for action to analysts and investment committees.
• Support and troubleshoot existing processes and implement changes to maintain high-quality 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.
• Foster cross-border collaboration across GMR teams and stakeholders.
• Cultivate and manage strategic relationships with internal and external partners.

Skills

Advanced Excel

Python

JavaScript

D3.js

Leaflet.js

HTML5/CSS

API Interactions

SQL

Tableau

Machine Learning

R

Git/GitHub

ETL/ELT

AI tools

Education

Undergraduate degree with preferred concentration in computer science, statistics, math or finance

Tools

Morningstar Direct

Factset

eVestment

Bloomberg

Job description

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 elem