Intern Quantitative Finance Internship

Role Summary

We are currently recruiting interns for Quantitative Finance Internship for the Fall 2026 term and invite students interested in exploring opportunities within quantitative finance to apply. Positions are available for a four‑ or eight‑month internship beginning in September 2026, across several participating teams.

Participating Teams

Public Credit – Credit Investments (4‑month Opportunity)

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‑backed securities and collateralized loan obligations. PC also manages the Supplementary Credit Pool portfolio, a passive portfolio of high‑grade global corporate bonds.

What you’ll do:

• 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.

Quantitative Models, Applied Research and Models – Total Fund Management (4 or 8‑month Opportunity)

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.

What you’ll do:

• 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.

Dynamic Portfolio Management – Total Fund Management (4 or 8‑month Opportunity)

Team Overview: Dynamic Portfolio Management designs and optimizes the total portfolio by leveraging diversification, investment selection, and tactical positioning, while managing factor exposures and global rebalancing to maximize long‑term returns without undue risk.

What you’ll do:

• 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.

Investment Engineering & Analytics – Active Equities (8‑month Opportunity)

Team Overview: The team is responsible for delivering data, analytics, and tooling solutions that enable the investment teams within Active Equities (AE). The IEA team partners closely with Technology & Operations to develop, monitor, and maintain the data platform, investor tools, and technology solutions used by the department.

What you’ll do:

• Support day‑to‑day operations of the IEA platform such as monitoring data quality and partnering with Technology & Operations to resolve issues quickly and efficiently for the investors.

• Design and implement data pipelines that produce value‑added data sets for investment teams.

• Enhance our analytics platform that measures department and performance metrics.

• Build and maintain dashboards that surface portfolio metrics to AE management.

• Contribute to the development of custom internal tools that enhance our investment process.

• Explore and experiment with AI solutions to enhance investment workflows and analytics.

• Learn AE’s business of fundamental equity investing and our role within the CPP Fund.

• Receive guidance and mentorship from senior members of the team to support your professional growth.

Investment Engineering & Analytics – Capital Markets and Factor Investing (4‑month Opportunity)

Team Overview: Develops and manages a data and analytics ecosystem for CMF strategies covering a wide range of asset classes. The ecosystem includes foundational data sets, investment signal construction processes, analytical libraries, and tools for constructing and analysing portfolios.

Accountabilities:

• Contribute to the development of a quantitative investment platform with a focus on volatility and risk premia strategies.

• Partner with colleagues