Intern, Risk Analytics (September - December 2026) (Ville-Marie), Abitibi-Témiscamingue-Ou …

ABOUT US

We’re one of Canada’s largest pension investors, with CAD$299.7 billion of net assets as of March 31, 2025. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in Current 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 world’s top companies. At PSP Investments, you’ll 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 organization’s models. The team’s 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 modelsIncrease the team’s 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 libraryContribute to the transfer of knowledge within the team WHAT YOU’LL NEED

Currently enrolled in a Master-level Financial Engineering Strong programming and computational skills (Python, C/C

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