Hiring.Camp

Intern - Capital Markets, Quantitative Strategies and Research (January 2027 - 4 months)

Otppb

·

Today

Salary
$30 – $36
Location
Toronto - 37.25, Canada
Type
Internship
Department
Education
Seniority
Internship
Education
PhD
Closing date
Today
Source
Workday

Description

The deadline to apply for this role is:

Until 11:59 PM of September 21, 2026

The opportunity   

 

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) 

  • Apply a wide array of quantitative techniques (e.g., from statistics, machine learning, optimization, etc.) to explore and test investment and portfolio hypotheses   

  • 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) 

  • Curiosity and interest about applying research and technology in the context of understanding markets and building portfolio systems. 

  • You should be returning to your studies after the work term is completed 

#LI-SS

What we’re offering

The expected hourly range for this role is $30 - $36 depending on experience and qualifications.

  • 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

Are you ready to pursue new challenges and take your career to the next level? Apply today! The following documents are required to be uploaded with your application:

  • Resume

  • Copy of your transcripts

You will also be invited to complete a pre-recorded digital interview as part of your application. Please complete it within 48 hours of application submission.

Intern Application Guidance

  • We will be reviewing applications on a rolling basis. We recommend candidates apply as soon as possible.

  • To help us better understand your interests and career goals, we recommend candidates apply to their top 3–5 positions for the term.

We thank you for applying, however, only those selected for a personal interview will be contacted. Note that candidates must be legally entitled to work in the country where this role is located.

Accommodations are available upon request ([email protected]) for candidates with a disability taking part in the recruitment process and once hired.

Ontario Teachers’ may use AI-based tools to assist in screening and assessing applicants for this position. These tools may help us identify candidates whose skills and experience align with Ontario Teachers’ objectives by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.

To learn more about how Teachers’ uses AI with your personal information, please visit our Privacy Centre. 

Functional Areas:

Administration


Vacancy:

Current

Requisition ID:

7167

 

#LI-SS1

Skills

PythonMachine LearningData Science

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