Intern - Risk, Models and Asset Liability (Fall 2025 - 4 months)

The deadline to apply for this role is:

Until 11:59 PM of May 19, 2025

The opportunity

September 2025-December 2025

*Please note that although the deadline for this posting is May 19, 2025, at 11:59PM EST, we will be reviewing applications on a rolling basis. We recommend candidates apply as soon as possible*

Are you curious to learn more about the risks taken by Ontario Teachers’ investment professionals? Do you want to get more exposure to asset/liability management and portfolio construction while working with data modelling and visualization?

Working within the Investment Risk team, you will have the chance to work with analytic tools to understand the impact of asset mix decisions. This role will provide opportunities to learn about factors impacting asset/liability balance at a pension plan, asset classes and their risk and return characteristics, and risk metrics used when considering portfolio suitability.

Who you’ll work with

Working closely with a team of data scientists and investment analysts, the work will be project-based ranging from half a day to full term projects. You will be working out of our Toronto office on a hybrid basis. Additional travelling will not be involved.

What you’ll do

As an Intern within our Investment Risk team, you will have the opportunity to:

• Work with and develop asset/liability model to determine the impact of changes to portfolio return and economic assumptions
• Conduct statistical analysis on simulation results and risk metrics
• Present data for audience consumption

What you'll need

• Have a statistical background and understanding of risk measures
• Experience with Python is required
• Have a good understanding of asset classes and how they contribute to a portfolio
• Familiarity of the operations of a pension plan in terms of assets and liabilities
• Concentration in Actuarial Science, Statistics, Finance or related field
• Be enrolled in 3rd / 4th year or related Master’s program
• Experience with data visualization is helpful (Power BI preferred)
• Previous work term experience preferred
• Machine learning, AI projects and interests are a plus
• You must be enrolled in a co-op program or returning back 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

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.

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 (peopleandculture@otpp.com) for candidates with a disability taking part in the recruitment process and once hired.

The privacy of your personal information is important to us. Please visit our Privacy Centre to learn how we handle your personal information.

Functional Areas:

Administration

 

Requisition ID:

6368