Associate Quantitative Researcher, Investment Science

Toronto, ON, Canada

Job Description


Company Description

Make an impact at a global and dynamic investment organization

When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, S\xc3\xa3o Paulo and Sydney.

CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:

  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • Being motivated every day by CPP Investments\' important social purpose and unshakable principles
  • A flexible/hybrid work environment combining in office collaboration and remote working
  • A deeply rooted culture of Integrity, Partnership and High Performance
If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here\'s an opportunity for you to invest your career at CPP Investments.



This role presents an excellent opportunity for a top-performing candidate with an alpha generation mindset to drive impact within a data-driven investment group. The Investment Science team, with a mission to drive value creation across the entire fund, seeks to enhance decision-making through the integration of empirical investment research, data utilization, and cutting-edge analytical and engineering methodologies. The team is currently searching for an Associate to actively contribute to the quantitative research of data and analytically driven investment initiatives.

Investment Science\'s initiatives involve developing, enhancing, and systematizing investment decisions such as capital allocation and security selection across various asset classes as well as public and private markets. A key recent focus of the team has been on driving decisions across the investing lifecycle through a proprietary research framework which leverages advanced analytical techniques such as statistical modeling and machine learning. As a valued member of the team, the candidate will collaborate with other investors, researchers, and engineers on a diverse range of initiatives.

The Opportunity:
  • Work in a fast-paced environment while collaborating with investment professionals, researchers, and engineers.
  • Bring an alpha generation mindset to contribute towards technical aspects of research, feature engineering, prediction and statistical modeling, and portfolio construction.
  • Contribute to the research and development of investment frameworks in combination with data and advanced analytical techniques, to advance investment decision-making in areas such as capital allocation, security selection, portfolio construction, and more.
  • Actively contribute to the full research cycle, including data acquisition, model development, stakeholder collaboration, and implementation of valuable insights and analytics into investment decision-making.
  • Leverage cutting edge analytical techniques such as machine learning and large datasets to enable alpha-generating investment decisions through proprietary research methodologies.
  • Contribute to high-impact initiatives, in partnership with subject matter experts from across the Fund in public and private markets and straddle both fundamental and quantitative approaches.
  • Explore a wide range of approaches and tailor the approach to each problem, considering the appropriate level of sophistication relative to its complexity while ensuring the quality and accuracy.
Qualifications

Core technical requirements:
  • Advanced degree (e.g., MSc, MFE, PhD) in a quantitative discipline, such as mathematics, mathematical finance, statistics, computer science, engineering, or a related field.
  • Strong programming skills and hands-on experience with Python.
  • 2-5 years of relevant experience in research roles within financial disciplines, such as investment research, portfolio construction, asset pricing, etc.
  • Interest and eagerness for conducting empirical research and analysis of large datasets.
  • Advanced knowledge of financial mathematics and statistical techniques with good economic intuition.
  • Demonstrated success in delivering practical solutions to complex problems.
  • Practical experience building and evolving statistical and machine learning models is a plus.
  • Understanding of modern asset pricing/portfolio theory is a plus.
  • Experience with PySpark or similar technologies is a plus.
  • Experience using cloud (e.g., AWS/Azure/GCP) and associated data and machine learning services is a plus.
Non-technical requirements:
  • Exceptional critical thinking, analytical and problem-solving skills with the ability to develop innovative approaches to intricate issues.
  • Strong intellectual curiosity in data, finance, and investment management.
  • Excellent written and verbal communication skills with an interest in growing people management and stakeholder influencing skills.
  • Capacity to synthesize feedback from various sources and integrate it into tangible model representations for empirical testing.
  • Ability to work in an entrepreneurial environment and be a self-starter.
  • Exemplify CPP Investments\' Guiding Principles of Integrity, Partnership and High Performance.
Additional Information

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At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.

We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.

Our Commitment to Inclusion and Diversity:

In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.

Disclaimer:

CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.

Mandatory Vaccine Policy

All employees in the Toronto, New York, San Francisco, Mumbai, Sydney, Hong Kong, and Sao Paulo offices will be required to be vaccinated against COVID-19. Accommodations to this policy will be made for medical or other protected grounds. Please contact us to discuss any accommodation needs.

CPP Investments

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Job Detail

  • Job Id
    JD2180803
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned