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Intern, Risk Analytics (September December 2026)

PSP Investments


Job Location:

Montreal - Canada

Monthly Salary: Not provided by the employer
Posted: 17 May 2026 (30+ days ago)
Application Deadline: 31 May 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

ABOUT US

Were one of Canadas largest pension investors with CAD$299.7 billion of net assets as of March 31 2025.


We invest funds for thepension plans of thefederalpublicservice the Canadian Forces theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa PSP Investments has its principal business office in Montréal and offices in New York London and Hong Kong.

Capturing and leading complex global investments requires us to work as one to seize valuable opportunities in close collaboration with some of the worlds top companies. At PSP Investments youll join a team of motivated and engaged professionals dedicated to propelling our organization further than ever before.

ABOUT THE TEAM

As an expert in financial engineering the Analytics and Model Management team is responsible for derivative model research market value valuation and/or oversight and governance of the organizations models.

The teams objective is to maintain its reputation develop analytical tools and offer analytical data for the organization. The team reports directly to the Managing Director Public Market Risks.

ABOUT YOUR ROLE

As an Intern Risk Analytics you could:

  • Develop and apply an understanding of the types of quantitative methods and analyses the team uses for financial markets securities and derivatives valuation to design and implement a literate programming framework

  • Review model documents and conduct test runs of derivatives pricing models

  • Increase the teams ability to effectively innovate and collaborate by enabling interactive analysis of computational modules and creating a knowledge base

  • Develop analytics capabilities to actively monitor performance and identify trends to enable strategic trading decisions

  • Devise and deploy one or more possible relevant use cases (such as a particular pricing model or component computational method) and demonstrate how your chosen platform and design will allow team members to interactively test and improve models and provide a low-maintenance living methodological reference library

  • Contribute to the transfer of knowledge within the team

WHAT YOULL NEED
  • Currently enrolled in a Master-level Financial Engineering

  • Strong programming and computational skills (Python C/C# for example)

  • Previous internship experience

  • Strong analytical and research skills

  • Knowledge of statistical and computational methods: financial derivative and/or structured products price modelling an asset

  • Prior experience with literate programming frameworks such as Jupyter Notebooks an asset

  • Autonomous self-starter

  • Innovative design thinker

  • Proficiency in English and French (or willingness to learn) (frequent interactions in English with PSP employees based in our offices in Hong Kong London and New York and interactions in French with employees in our local offices in Montreal and Ottawa)

  • Candidates must have the right to work in Canada* for the period specified to be considered for this position. No support to obtain the right to work will be provided

    • *Options include Canadian citizenship permanent residency or a valid open work permit

At PSP Investments we aim to provide a workplace where everyone feels valued safe respected and empowered to grow. As part of this leadership commitment we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process please let us know.

To apply please upload your resume cover letter and most recent unofficial transcript.

Deadline to apply:

Visit us on us on LinkedIn

#LI-MB1

Required Experience:

Intern


About Company

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We're the next generation of pension fund managers. Discover how we spot opportunities on the edge and act with agility to execute complex investment.

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