Intern - Risk, Total Fund Risk (September 2026 - 12 months)

The Total Fund Risk & Analytics team within Risk Division is responsible for the risk systems and methodologies, total fund risk assessment and reporting to senior management and the Board, as well as development of risk analytical tools. The team is working on four major areas:

(1) Investment Asset Risk; (2) Funding Liquidity Risk; (3) Portfolio Analytics; and (4) Investment Risk Reporting.

We are looking for a creative and lateral problem solver who would be keen to contribute to the team efforts towards a broad range of reporting, monitoring and analytical activities as well as research and development initiatives that support the strategic objectives of the Total Fund Risk & Analytics team and the Risk Division.

The role will provide an outstanding opportunity to individuals looking to gain buy-side experience in the interface of quantitative finance, investment risk and technology.

Who you’ll work with

The Risk Division aims to ensure that the plan is sustainable over the long term. It is mandated to enable and govern risk taking to deliver on the strategic objectives of Ontario Teachers. The Total Fund Risk & Analytics team is embedded within the Investment Risk function, and the team is employing a range of technological tools such as Python, C#, and Julia.

What you’ll do

• Maintain/enhance existing and develop new analytical capabilities covering various aspects of the enterprise risk systems and in-house business tools

• Implement and cater to on-demand requests from Risk Division and various investment departments across the Fund

• Research initiatives and conduct analyses supporting risk modeling and monitoring processes for the enterprise risk system

• Explore latest Artificial Intelligence technologies and their applications to investment risk opportunities

• Work cross-functionally with other team members and departments to design/ develop/enhance analytics tools for investment decision-making, ensuring continued alignment with OTPP’s Vision, Mission, and Values

What you’ll need

• Enrolled in a bachelor’s or master’s level quantitative field such as Computer Sciences/Mathematics/Statistics/Engineering

• Strong conceptual and analytical thinker

• Quantitative and qualitative problem solver

• Knowledge of financial markets and quantitative risk is a plus

• Experience with software development using programming skills in Python and/or C#

• Working knowledge in Excel, PL/SQL, Power BI, Visual Studio, Julia, Git

• Working knowledge of latest Artificial Intelligence technologies is a strong plus

• Proven ability to work independently as well as to perform effectively in a team-oriented environment

• Communication skills (oral and written)

• Self-motivated, flexible and adaptable

• You should be returning back to your studies after the work term is completed