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Intern Analyst, PhD – Systematic Strategies Group

CPP
Toronto, CAN
Full-time
Intern
Onsite
Discovered 3 weeks ago
pythonsql

Full Job Posting

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

Preferred 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

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