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Intern Analyst, PhD – Systematic Strategies Group

@ Canada Pension Plan Investment Board

Toronto, Ontario

Full-time
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SIGNALS

Overview

Canada Pension Plan Investment Board is hiring a PhD-track Intern Analyst for its Systematic Strategies Group, starting May 2027. The intern supports systematic signal research across multiple asset classes, builds forecasting tools from macro and alternative data, and engineers data workflows. The role is full-time and on-site.

Responsibilities:

  • Support end-to-end research on systematic signals across asset classes
  • Build forecasting and monitoring tools from macro, market and alternative data
  • Engineer robust data workflows for systematic research
  • Translate academic research into investment model enhancements

Requirements summary:

  • Currently pursuing a PhD in a quantitative discipline; dissertation stage preferred
  • Experience with financial or economic data
  • Strong Python and SQL programming skills
  • Strong empirical modelling and econometric skills
  • Strong written and verbal communication

Tools & skills

Source and dates

Employer career site / ATS feed · workday

Employer posting date
2026-10-04
First seen by our source
2026-10-08
Source record updated
2026-11-03

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentFinance & accounting
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationDoctorate (required)
Fields of studyFinance, Economics, Computer Science, Statistics, Applied Mathematics

Summary and details written by AI from the posting; the employer’s posting is the authority.

Canada Pension Plan Investment Board

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Job description

Purpose. Performance. People.


Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.

With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.

For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here, you’ll contribute to outcomes that matter alongside team members committed to excellence and shared success.


The Role


As an Intern Analyst in the Systematic Strategies Group (SSG), you will contribute to systematic investment research across global markets and multiple asset classes.
Starting in May 2027, you will support end-to-end research on systematic signals, develop forecasting and monitoring tools using macroeconomic, market and alternative datasets, engineer robust data workflows, and help translate academic research into enhancements to investment models.

The Team


The Capital Markets and Factor Investing (CMF) department invests globally across public equities, fixed income securities, currencies, commodities and derivatives, and manages relationships with investment managers and co-investments in public market securities.


Within CMF, the Systematic Strategies Group develops and manages systematic investment strategies across global equities, fixed income, commodities, currencies and volatility. The team invests in absolute return and long-only strategies designed to provide a diversifying return stream to the total Fund.


Accountabilities

  • Support end-to-end research on systematic signals across multiple asset classes, including rates, equities, currencies and commodities
  • Build forecasting and monitoring tools that synthesize macroeconomic, market and alternative datasets
  • Engineer robust data workflows to support systematic investment research
  • Translate relevant academic research into enhancements to investment models
  • Contribute to practical research related to financial markets, portfolio management, portfolio construction and asset pricing

Qualifications

  • Currently pursuing a PhD in Finance, Economics, Computer Science, Statistics, Applied Mathematics or a related quantitative discipline; candidates at the dissertation stage are preferred
  • Experience working with financial and/or economic data
  • Strong programming skills, preferably in Python and SQL
  • Strong empirical modelling, econometric, analytical and problem-solving skills, with attention to detail and intellectual curiosity
  • Interest in applying quantitative research to financial markets, portfolio management, portfolio construction and asset pricing
  • Strong written and verbal communication skills and demonstrated ability to collaborate effectively within a team
  • Commitment to CPP Investments’ Guiding Principles of Integrity, Partnership and High Performance

You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself to high standards in a collaborative, performance-driven environment.


We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.

Inclusion & Accessibility

CPP Investments is committed to equitable access to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Attention: Protect Yourself from Fraud

CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.


CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.


#LI-ONSITE

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