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    Quantitative Research Analyst - Toronto, Canada - 0000055458 RBC Global Asset Management Inc.

    0000055458 RBC Global Asset Management Inc.
    0000055458 RBC Global Asset Management Inc. Toronto, Canada

    Found in: Talent CA C2 - 2 days ago

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    Full time
    Description

    Job Description

    We are seeking a Quantitative Research Analyst to join the Quantitative Investments team at RBC Global Asset Management (RBC GAM). As a Quantitative Research Analyst, you will apply quantitative research methods to the development and enhancement of systematic and implementable investment models. Your success and that of the team will be driven by your expertise in quantitative analysis, combined with your passion for systematic quantitative equity investing. 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? As a Quantitative Research Analyst, you will
  • Play a lead role in research execution with the goal of improving investment performance – contributing to the areas of data exploration and validation, alpha research, risk modeling, portfolio construction, attribution, and performance analysis
  • Take ownership of own delivery by prioritizing effectively, communicating proactively, and managing tasks to deadlines
  • Collaborate and communicate effectively with multi-disciplinary project teams consisting of research analysts, research engineers, portfolio managers, data specialists, technology analysts and developers
  • Embrace the investment philosophy and process of the team and contribute constructively to continued development team's research framework and processes, and champion compelling research ideas and initiatives in line with Quantitative Investments' investment philosophy
  • Remain at the cutting edge of research and development in quantitative investments recognizing that we must continually evolve our investment skills, processes, and technology
  • 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
  • Strong collaboration skills and a pro-active approach to communication. Ability to deliver accurate results that have impact on tight deadlines, including the write-up and presentation of research
  • Bachelor's degree in quantitative finance, statistics/machine learning, data science, or a related field
  • 3+ years of experience in the financial industry or in finance research working with financial data; experience with equity data is strongly preferred; buy-side investing experience is a plus
  • Strong understanding of key mathematical, statistical, and machine-learning concepts and techniques that are applied in quantitative investments including portfolio optimization, risk management and performance analysis
  • Strong programming skills in Matlab, Python and SQL with experience in data preparation and exploratory analysis
    • Nice to Have
  • Master's or higher degree in quantitative finance, statistics/machine learning, data science, or a related field
  • Proficiency in cloud-based machine learning platforms such as Databricks and experience in Tableau or other data visualization tools (Qlik, PowerBI, etc.), with a strong understanding of best practices in data visualization and dashboard design
  • Completion or enrollment in CFA
    • 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
  • 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 Skills Adaptability, Asset Management, Communication, Creativity, Curiosity, Databricks Platform, Data Handling, Detail-Oriented, Econometrics, Equity Investments, Investments Analysis, Machine Learning, Mathematical Optimization, MATLAB, Pandas Python Library, Portfolio Construction, Python for Data Analysis, Quantitative Analytics, Quantitative Investment, Quantitative Investment Strategies, Quantitative Research, Statistics, Teamwork Additional Job Details

    Address:

    RBC CENTRE, 155 WELLINGTON ST W:TORONTO

    City:

    TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    Wealth Management

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    Application Deadline:

    I nclusion 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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