Intern - Risk, Models and Asset Liability

The Final date to receive applications for this role is:

Until 11:59 PM of September 21, 2026

May 2027 - April 2028

Are you eager to understand the risks that shape the decisions of OTPPS' investment professionals? Are you eager to deepen your understanding of asset/liability management, portfolio construction, and data-driven decision-making in a real-world institutional investment setting?

As an intern on the Models and Asset Liability Risk team
, you will gain hands‑on experience using advanced analytical tools to evaluate the impact of asset mix decisions. This role offers a unique opportunity to explore the key factors influencing the asset/liability balance of a pension plan, understand the risk and return characteristics of various asset classes, and apply risk metrics to assess portfolio suitability.

You will collaborate with a highly skilled team of investment analysts, data scientists and actuaries on a variety of projects—ranging from short-term tasks to full-term initiatives. This role is based in our Toronto office and follows a hybrid work model. No additional travel is required.

As an Asset Liability Risk Intern, your responsibilities will include:

• Assisting in the development and refinement of asset/liability models to evaluate the impact of changes in portfolio returns and economic assumptions.
• Conducting statistical analysis on simulation outputs and interpreting key risk metrics.
• Creating and presenting data visualizations and summaries tailored for diverse audiences, including investment professionals and risk managers.
• Help design and execute stress tests and scenario analyses to assess portfolio resilience under various market conditions, economic shocks and demographic assumptions.
• Assist in preparing model and process documentation, risk reports, and presentations that communicate findings and recommendations to stakeholders.
• Contribute to the development and implementation of automated workflows and advanced AI-driven solutions using Python, with the goal of streamlining processes and enhancing operational efficiency across risk modeling and asset liability management.

• A strong academic background in finance, risk management, actuarial science, mathematics, or computer science is essential. Candidates should demonstrate proficiency in quantitative analysis and possess the foundational knowledge required to evaluate complex financial models and risk metrics within an institutional investment environment.
• Enrollment in a 3rd or 4th year undergraduate program or a Masters’ program in Actuarial Science, Statistics, Finance, or a related field.
• Familiarity with pension plan operations, particularly the interaction between assets and liabilities
• A working knowledge of asset classes and their roles in diversified portfolios.
• Proficiency in Python or any other programming languages for data analysis and modeling.
• Experience with data visualization tools (Power BI preferred).
• Prior co-op or internship experience is an asset.
• Experience with Snowflake is an asset.
• Interest or experience in building agentic AI applications is a plus.

• You must be enrolled in a co-op program or returning back to your studies after the work term is completed

#LI-SS

The expected hourly range for this role is $30 - $33 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'.

Accommodations are available upon request () 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.

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