Intern, Analytics and Model Management
6 days ago
ABOUT US
We’re one of Canada’s largest pension investment managers, with CAD$264.9 billion of net assets as of March 31, 2024.
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 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 world’s top companies. At PSP, you’ll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.
EXPERIENCE THE EDGE
At PSP, we encourage our employees to grow, forge powerful relationships, contribute and fuel inspired investment launchpads. We are committed to a culture that fosters collaboration and allows us to think beyond, in an interconnected way. We advocate for our employees to speak-up, learn, experiment, share, and be part of an
inclusive work environment
where diversity is embraced.
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, Analytics and Model Management, you could:- Review model documents and conduct test runs of derivatives pricing models- Increase 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 library- Contribute 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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