Intern: Portfolio Engineering for Trading Analytics

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

Benefits offered by this job

Lunch & learns

Monthly team building events

Edvantage & Perkopolis discounts

Job summary

Ontario Teachers' Pension Plan's Capital Markets Investment Analytics (CMIA) team in Toronto is seeking an 8-month winter interns to join January 2027 to August 2027. You will work on our proprietary investment strategy codebase, support automated trading and portfolio analytics, and collaborate with portfolio managers in a collaborative, performance-driven environment.

You will develop in Python, MATLAB, and JavaScript, and gain exposure to multiple asset classes while contributing to research,

Qualifications

• Enrolled in undergraduate or graduate program in quantitative field such as Engineering or Computer Science.
• Solid understanding of software engineering concepts and techniques.
• Strong interest in financial markets and systematic investment strategies.
• Strong programming skills in modern languages (Python, MATLAB, JavaScript).
• Willing to return to studies after the work term.

Responsibilities

• Improve and work on internal proprietary investment strategy codebase under guidance.
• Support functions including proprietary investment strategies, automated trading, portfolio management and risk analysis.
• Investigate areas for improvement and bring new ideas through analysis and research.
• Work with datasets for sourcing, cleaning, and visualization.
• Gain experience across asset classes (equities, fixed income, currencies, commodities).
• Contribute to development and optimization of portfolio infrastructure and tools.

Skills

Python

MATLAB

JavaScript

Education

Undergraduate/Graduate program in quantitative discipline

Tools

Python

MATLAB

JavaScript

Job description

Ontario Teachers' Pension Plan's Capital Markets Investment Analytics (CMIA) team in Toronto is seeking an 8-month winter interns to join January 2027 to August 2027. You will work on our proprietary investment strategy codebase, support automated trading and portfolio analytics, and collaborate with portfolio managers in a collaborative, performance-driven environment.

You will develop in Python, MATLAB, and JavaScript, and gain exposure to multiple asset classes while contributing to research,