Quantitative Markets Research Intern

otppb; Toronto; On-site; CAD 41,000 - 50,000; Full time

Benefits offered by this job

Lunch and learns

Student led team building events

Edvantage discount

Perkopolis discount

Diversity & Inclusion initiatives

Job summary

Ontario Teachers' Pension Plan's Quantitative Strategies and Research team is seeking an intern for Spring 2027 to explore and build systematic investment strategies. Based in Toronto, you will work under senior team members, contributing to research projects and applying data science, statistics, and programming to test ideas.

You will collaborate with a 15-person team within Capital Markets, gaining exposure to multiple asset classes while developing analytical tools and portfolio

Qualifications

• Enrolled in a Master’s/Ph.D. or upper-year undergrad program with quantitative research foundations.

Responsibilities

• Contribute to QSR's broad research initiatives using Matlab and Python.
• Apply quantitative techniques to test investment and portfolio hypotheses.
• Review, critique, and implement research papers from academia or practitioner community.
• Present results to the team and gather feedback for improvement.
• Work with datasets: sourcing, cleaning, visualization, and predictive modeling.
• Propose original ideas and test them on real-world data.
• Gain experience across asset classes including equities, fixed income, currencies, and commodities.
• Assist in developing and optimizing portfolio implementation infrastructure and analytical tools.

Skills

Quantitative research

Programming

Matlab

Python

Statistics

Machine learning

Optimization

Data science

Education

Master's or PhD program or upper-year undergrad

Tools

Matlab

Python

Job description

Ontario Teachers' Pension Plan's Quantitative Strategies and Research team is seeking an intern for Spring 2027 to explore and build systematic investment strategies. Based in Toronto, you will work under senior team members, contributing to research projects and applying data science, statistics, and programming to test ideas.

You will collaborate with a 15-person team within Capital Markets, gaining exposure to multiple asset classes while developing analytical tools and portfolio