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Computer Science Winter Internship Jobs in Toronto, ON

Swiss Re

P&C Actuarial Intern (Fall 2026)

Toronto, ON · On-site

Launch your actuarial career with an exciting winter internship at our Canadian office in Toronto ... Currently pursuing a Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

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Computer Science Winter Internship information

What are the key skills and qualifications needed to thrive in a computer science winter internship?

A Computer Science Winter Internship typically requires a foundational understanding of programming languages such as Python, Java, or C++, alongside coursework or projects in algorithms, data structures, or software development. Interns often use version control systems like Git, development environments such as Visual Studio Code, and may benefit from certifications in relevant technologies or programming languages. Strong problem-solving skills, eagerness to learn, and the ability to communicate effectively within a team are important soft skills. These competencies are crucial for successfully contributing to technical projects, adapting to new technologies, and collaborating in dynamic work environments.

What kinds of projects or tasks are typically assigned during a computer science winter internship?

During a Computer Science Winter Internship, interns commonly work on real-world projects such as developing software features, debugging code, creating test cases, or assisting with documentation. The tasks can range from individual assignments to collaborative efforts with other engineers or product teams, depending on the organization's needs. Interns often have the opportunity to attend technical meetings, participate in code reviews, and learn industry best practices firsthand. This structure provides valuable exposure to professional workflows and helps interns build practical skills for future career advancement.

What is a computer science winter internship?

A Computer Science Winter Internship is a short-term, hands-on learning opportunity for students to gain practical experience in software development, data science, cybersecurity, or other tech fields. Typically lasting a few months during the winter break, interns work on real-world projects, collaborate with professionals, and enhance their technical and problem-solving skills. These internships help students build their resumes, expand their industry network, and sometimes lead to full-time job offers.

What are popular job titles related to Computer Science Winter Internship jobs in Toronto, ON?

For Computer Science Winter Internship jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Computer Science Winter Internship jobs in Toronto, ON look for?

The top searched job categories for Computer Science Winter Internship jobs in Toronto, ON are:

Computer Science Winter Internship jobs near you
Infographic showing various Computer Science Winter Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution.

Quantitative Finance Internship Winter 2027

CPP Investments

Toronto, ON

Full-time

Posted 17 days ago

Job description

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'llcontribute to outcomes that matter alongside team members committed to excellence and shared success.


The Role


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.


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-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

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 to maintaining existing models and tools managed by the team

Dynamic Portfolio Management - Total Fund Management

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.

Beta,Collateral, and Liquidity Management (BCLM)- Total Fund Management

Team Overview: Theteamworks in partnership with groups across TFM andis responsible forthedeliveryof the total Fund'sEquity and Fixed IncomeBalancing Portfolios,collateral optimization,leverage,andpublic marketliquidityportfolios.

What you'll do:

  • Helping our teamwith day-to-dayportfolio management,collateraland/orfinancingactivities on the desk,such asrisk analysis, profit- and-loss attributionand other analysis.

  • Developingondesk analyticaltools.

  • Ad-hoc projectsanalyzing topicssuch 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, 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, investmentmanagement, 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 tohigh standardsin 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 toequitableaccess 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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