Senior/Intern Analyst, Investment Science

Toronto, ON, Canada

CPP Investments

Explore CPPIB, a global investment management organization. Learn about our mission, strategies and how we help create retirement security for Canadians.

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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 $600 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, Mumbai, New York City, San Francisco, São 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.

Job Description

Investment Science

The Investment Science team has a Fund-wide mandate to drive value creation through improved decision-making. The team accomplishes this by combining empirical research, investment knowledge, increased data usage, and innovative analytical and engineering techniques. By finding new ways to deliver value, Investment Science’s solutions contribute to the retirement funds of 20 million Canadians, ensuring we maximize returns without undue risk of loss.

Investment Science collaborates with teams across the Fund as well as global external partners such as large corporates, startups and academics to tackle high-impact initiatives through agile, cross-functional teams. Once a new concept’s measurable alpha is proven through a proof-of-concept, Investment Science works with relevant stakeholders to scale and implement.

Investment Science is recruiting for an intern who can contribute towards data engineering, data science and machine learning initiatives within the team. Specific projects will be considered based on candidate profile and interests and could span across asset classes while straddling a mix of fundamental and quantitative investing techniques. The individual would additionally be expected to contribute across feature construction, machine learning pipelines, forecasting, data engineering, portfolio construction and data intensive research projects.

We are looking for a Senior Intern Analyst or Intern Analyst within Investments Science in Toronto starting in May 2025 for a 4- or 8-month internship.

The Opportunity

  • Work in a fast-paced environment, collaborating with researchers, data engineers, data scientists, software engineers, and investment professionals
  • Contribute to high-impact initiatives, in partnership with subject matter experts from across the Fund, to support research, design, and implementation of investment capabilities
  • Participate in the project life cycle from scoping and analysis to development and testing, and apply best practices and hands-on expertise as required
  • Leverage cutting edge technology and data to enable alpha-generating investment decisions through proprietary research methodologies
  • Bring an alpha generation mindset to contribute towards technical aspects of data & feature engineering, predictions, and portfolio construction

Qualifications

Qualifications

  • Candidates working towards an advanced degree in Engineering, Computer Science, or another quantitative field would be preferred.
  • At a minimum, prospective candidates will be graduating from an undergraduate or graduate program in April 2026 (or later) and working towards a degree in a STEM or business field.
  • Excellent written and verbal communication skills.
  • Proficiency in Python would be highly preferred. Experience with PySpark would be a plus. Experience with other programming languages (such as C++/Java, R, VBA) and databases (MySQL, SQL Server, or Oracle) are also welcome.
  • Interest in investing and tackling high-impact problems through increased data usage and advanced analytical techniques such as machine learning.
  • Engineering background with specialization in artificial intelligence, machine learning, data analytics etc. or expertise building and evolving statistical and machine learning models would be considered an asset.
  • Strong critical thinking, analytical and research skills, including experience leading independent research and/or technical projects in a professional or academic setting.
  • Ability to prioritize work and manage multiple responsibilities simultaneously.
  • Motivated self-starter, with a proven ability to work independently as well as to collaborate effectively and communicate with stakeholders
  • Strong intellectual curiosity and a fast learner; ability to work in and adapt to an entrepreneurial environment
  • Exemplifies our Guiding Principles of Integrity, Partnership and High Performance

Additional Information

If you have an interest in working with talented professionals in the financial industry in an environment of integrity, partnership and high performance, then you should consider a career in at CPP Investments.

To apply, please include a cover letter, resume and transcripts (full unofficial version) by January 29, 2025 at 11:59PM ET.

Visit our Linkedin Career Page or Follow us on Linkedin.

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.

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Category: Analyst Jobs

Tags: Agile Computer Science Data Analytics Engineering Feature engineering Java Machine Learning ML models MySQL Oracle Pipelines PySpark Python R Research SQL Statistics STEM Testing

Perks/benefits: Career development Flex hours

Region: North America
Country: Canada

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