Intern - Risk, Models and Asset Liability (May 2027 - 12 months)

Ontario Teachers' Pension PlanToronto, ON
CA$30 - CA$33Hybrid

About The Position

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.

Requirements

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

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • 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
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