Quantitative Finance Internship Winter 2027

CPP Investments | Investissements RPC•Toronto, ON

2d•Onsite

About The Position

We are recruiting Quantitative Finance Interns for the Winter 2027 term. This four-month internship, beginning in January 2027, offers students the opportunity to gain hands-on experience supporting investment professionals across a range of quantitative finance teams.

Requirements

Currently pursuing an undergraduate or graduate degree in STEM, business, finance, economics, mathematics, engineering, computer science, or related field, graduating Aug 2027 or later, with excellent academic performance.
Strong problem-solving, analytical, written and 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) considered an asset.
Experience with AI-assisted coding tools and the ability to leverage them 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.

Responsibilities

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 macro environment to contribute to research and trade ideas.
Conduct ad-hoc analysis on portfolio management, market structure, and investment opportunities.
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 to maintaining existing models and tools managed by the team.
Under the guidance of senior team members, contribute to the design and implementation of portfolio management tools within DPM.
Participate in the design and development of analytic enhancements, to support investment decisions.
Assist in 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 to identify opportunities and risks related to fund exposures.
Helping our team with day-to-day portfolio management, collateral and/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, market structure and financing opportunities.