Description
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 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.
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 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
Requirements:
- 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
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?
- 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