Intern - Total Risk Fund (May 2027 - 12 months)

Ontario Teachers' Pension Plan

Toronto

On-site

CAD 41,000 - 45,000

Full time

14 days+

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Benefits offered by this job

Lunch and learning sessions
Student team-building events
Employee discount programs

Job summary

Ontario Teachers’ Pension Plan (OTPP) invites applicants to join the Total Fund Risk & Analytics team within Risk Division. The role covers risk systems, reporting to senior management and the Board, and development of risk analytics tools across core areas.

The ideal candidate is enrolled in a bachelor’s or master’s program in a quantitative field with programming experience in Python and/or C#, plus familiarity with Excel, Power BI and related tools.

Qualifications

  • 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 programming in Python and/or C#
  • Working knowledge of Excel, PL/SQL, Power BI, Visual Studio, Julia, Git
  • Working knowledge of AI technologies is a strong plus
  • Proven ability to work independently as well as in a team
  • Communication skills (oral and written)
  • Self-motivated, flexible and adaptable
  • Must be returning to studies after the work term (#LI-SS)

Responsibilities

  • Maintain/enhance existing and develop new analytical capabilities for enterprise risk systems
  • Implement on-demand requests from Risk Division and investment departments
  • Support risk modeling and monitoring processes
  • Explore AI technologies and their applications to investment risk opportunities
  • Collaborate cross-functionally to design analytics tools for investment decision-making

Skills

Python
C#
Excel
Power BI
PL/SQL
Visual Studio
Julia
Git
Communication skills
Independent/team work

Education

Bachelor’s degree in quantitative field
Master’s degree in quantitative field

Tools

Python
C#
Visual Studio
Git

Job description

The deadline to apply for this role is: Until 11:59 PM of September 21, 2026 The opportunity May 2027 - April 2028 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 #LI-SS
What we’re offering

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'.

www.otpp.com/careers

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