Senior Quantitative Research Analyst

RBC•Minneapolis, MN

3d•$90,000 - $160,000

About The Position

Global Manager Research (GMR) is a team of analysts dedicated to investment manager research and due diligence in support of RBC’s global businesses and distribution platforms. The broader team consists of investment professionals in Minneapolis, Toronto, Asia, and London and supports an asset base of more than $650 billion USD. The team conducts initial and ongoing research, analysis, and due diligence on investment management firms offering mutual funds, separately managed accounts, exchange-traded funds, and sub-advisory relationships. The Senior Quantitative Research Analyst oversees the quantitative tools and methods used to monitor, score, and source investment managers. The role maintains and improves existing tools and creates innovative tools to improve the efficiency, consistency, and effectiveness of research and due diligence. It also leads quantitative research projects, delivers analysis and recommendations, supports and improves processes, mentors team members, and fosters collaboration and strategic relationships across GMR and with internal and external partners.

Requirements

Undergraduate degree, preferably with a concentration in computer science, statistics, mathematics, or finance.
At least 5 years of work experience, including at least 2 years developing and implementing quantitative systems.
Strong foundation in investment industry fundamentals, including asset classes, investment types, manager strategies, and performance and risk metrics.
General understanding of current financial markets and economic conditions.
Strong attention to detail and rigorous analytical diligence.
Ability to solve problems and resolve issues arising 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 in a team environment.
Adaptability to changing market conditions and evolving business priorities.
Proficiency in advanced Excel, Python, JavaScript (D3.js and Leaflet.js), HTML5/CSS, API interactions, social media mining, SQL, Tableau, advanced statistics, machine learning, R, Git/GitHub, and ETL/ELT.
Experience with database design, normalization, and data modeling, such as entity-relationship diagrams.
Proven track record implementing and integrating complex technologies and cross-functional projects.
Knowledge of AI tools and a proactive approach to exploring and implementing AI-driven solutions to enhance productivity and workflow.
Demonstrated curiosity about technological innovation.

Nice To Haves

Proficiency in higher-level programming, or a strong desire to read, understand, and comprehend code.
Solid understanding of investment analytical tools, including Morningstar Direct, FactSet, eVestment, and Bloomberg.
Willingness to pursue a CFA/CAIA designation and other educational opportunities.

Responsibilities

Design, test, and implement investment manager monitoring and sourcing tools.
Lead key aspects of quantitatively driven research projects, from scoping and analysis through development and execution.
Create and document procedures to ensure consistency and repeatability.
Deliver meaningful, timely insights, published reports, and recommendations for action to analysts and appropriate investment committees.
Support and troubleshoot existing processes, implementing changes as needed to maintain high standards for deliverables.
Continually enhance technical skills and build knowledge of 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 the four GMR teams and with key stakeholders.
Cultivate and manage strategic relationships with key internal and external partners.