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Purpose. Performance. People.
Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.
With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.
For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance.Here, you’ll contribute to outcomes that matter alongside team members committed to excellence and shared success.
The Role
The Team
Public Credit – Credit Investments
Team Overview:The Public Credit (PC) group invests in investment and sub-investment grade, public, single-name credits (such as corporate credits in an individual company) and credit indexes globally across all sectors. The group invests in liquid credit products across the capital structure with a focus on products with higher credit ratings. Instruments include corporate bonds, hard-currency sovereign debt, credit exchange-traded funds, credit derivatives, asset-backed securities, residential mortgage-backedsecuritiesand collateralized loan obligations. PC also manages theSupplementaryCreditPoolportfolio, a passive portfolio of high grade global corporate bonds.
Whatyou’lldo:
Leverage programming skills in Python and SQL to develop and enhance proprietary analytical tools.
Enhance risk reporting and performance analysis tools.
Collaborate with portfolio managers and the Quantitative team to improve models.
Monitor credit markets and macroenvironmentto contribute to research and trade ideas.
Conduct ad-hoc analysis on portfolio management, market structure, and investment opportunities.
Quantitative Models, Applied Research and Models – Total Fund Management
Team Overview: The Quantitative Models team within TFM develops and delivers advanced analytical models and tools - spanning risk modeling, portfolio optimization, and asset allocation - to support data investment decisions at the total fund level.
Whatyou’lldo:
Contribute to implementing components of investment models and portfolio analytics
Collaborate with quant researchers and portfolio managers to clarify specifications and interpret results
Assess and communicate the impact of modeling changes on portfolio metrics
Contribute tomaintainingexisting models and tools managed by the team
Dynamic Portfolio Management – Total Fund Management
Team Overview:Dynamic Portfolio Management designs andoptimizesthe total portfolio byleveragingdiversification, investment selection, and tactical positioning, while managing factor exposures and global rebalancing to maximize long-term returns without undue risk.
Whatyou’lldo:
Under the guidance of senior team members, contribute to the design and implementation of portfolio management tools withinDPM.
Participate in the design and development of analytic enhancements, to support investment decisions
Assistin preparing presentation materials and presenting investment recommendations.
Communicate complex analysis in clear, tailored formats, synthesizing actionable insights for the team.
Stay up to date with markets and macroeconomic trends toidentifyopportunities and risks related to fund exposures.
Beta, Collateral, and Liquidity Management (BCLM) – Total Fund Management
Team Overview:The team works in partnership with groups across TFM andis responsible forthe delivery of the total Fund’s Equity and Fixed Income Balancing Portfolios, collateral optimization, leverage, and public market liquidity portfolios.
What you'll do:
Helping our team with day-to-day portfolio management,collateraland/or financing activities on the desk, such as risk analysis, profit- and-loss attribution and other analysis.
Developing on desk analytical tools.
Ad-hoc projects analyzing topics such as portfolio management, trading, collateral, marketstructureand financing opportunities.
Qualifications
Currently pursuing an undergraduate or graduate degree in STEM, business, finance, economics, mathematics, engineering, computer science, or related field, graduatingAug2027or later, with excellent academic performance.
Strong problem-solving, analytical,writtenand verbal communication skills; ability to manage multiple priorities and thrive in a collaborative, dynamic environment.
Programming experience in Python (strongly preferred) with exposure to TypeScript, SQL, database management (MySQL, SQL Server, Oracle), and other languages (C++, Java, R, VBA)consideredan asset.
Experience with AI-assisted coding tools and the ability toleveragethem effectively to enhance modeling and portfolio analysis are assets.
Interest in finance,global markets, trading, investment management, and market structure,investment management, capital markets, modern portfolio theory, and quantitative portfolio techniques; background or interest in numerical analysis, optimization, linear algebra, or software design is an asset.
You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself to high standards in a collaborative, performance-driven environment.
We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.
Inclusion & Accessibility
CPP Investments is committed to equitable access to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
Attention: Protect Yourself from Fraud
CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.
CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.
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