Intern - Capital Markets, Quantitative Strategies and Research (Winter 2026 - 4 Month Contract)
5 days ago
Until 11:59 PM of October 3, 2025
The opportunity
January 2026-April 2026
Do you want to use your research skills and curiosity about markets to explore and build new systematic investment strategies?
We are Quantitative Strategies and Research (QSR), an innovation-driven team within Capital Markets at Ontario Teachers’ Pension Plan. We manage a broad and diversified portfolio, built using quantitative models, and are looking for an intern to join us this Winter 2026.
We have varied educational backgrounds and research interests, and we are all passionate about understanding market drivers and using tools like data science, statistics, and programming to test and run our ideas. We are working on a lot of different projects - whether you are an undergrad curious about quantitative investing or a graduate student with advanced and original research contributions, we have something for you
Who you will work with
QSR is a team of 15, based in Toronto. Some of us focus on research and portfolio management, others on data science and technology. You will report to one of the team’s senior members based on the best match for your interests and our needs. You will work on research projects and collaborate with other team members. We will encourage you to think independently and explore and present your own ideas and we will guide and help you along the way.
As a member of Capital Markets, a dynamic team of more than 80 investment professionals working across liquid markets, you will also have unparalleled opportunities to meet and learn from people with different areas of expertise and approaches to investing
What you will do
- Contribute to QSR’s broad research and development initiatives (we tend to work in Matlab and Python)
- Review, critique, and implement research papers from academia or the practitioner community
- Present and discuss your results with the team and gather feedback for improvement
- Work on a variety of datasets, e.g., sourcing, cleaning, visualization, and predictive modelling
- Propose original ideas (e.g., based on personal interests, prior experience, or graduate research) and test them on real-world data
- Gain experience in one or several asset classes, including equities, fixed income, currencies, and commodities
- Contribute to the development and optimization of our portfolio implementation infrastructure and analytical tools
What you will need
- To be enrolled in a Master’s or Ph.D. program or upper-year undergraduate program providing solid quantitative research and/or technology foundations (e.g., math, stats, computer science, engineering, economics, etc.)
- A passion for research, demonstrated through academic work (e.g., papers published, research projects or theses) or personal projects
- Broad programming experience, especially in scientific programming (we tend to work in Matlab and Python)
- You should be returning to your studies after the work term is completed
What we’re offering- Numerous opportunities for professional growth and development, including lunch and learns- Student led team building events on a monthly basis- Employee discount programs including Edvantage and Perkopolis
At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out
Life at Teachers'.
How to apply- Resume- Copy of your transcripts
To learn more about how Teachers’ uses AI with your personal information, please visit our
Privacy Centre.
Functional Areas:
Administration
Vacancy:
Current
Requisition ID:
6559
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