Quant Engineer, Credit Asset Management

Make an impact at a global and dynamic investment organization

When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians.

CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $3.6 trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, San Francisco, São Paulo, and Sydney.

CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to:

• Stimulating work in a fast-paced and intellectually challenging environment
• Accelerated exposure and responsibility
• Global career development opportunities
• Diverse and inspiring colleagues and approachable leaders
• A hybrid-flexible work environment with an emphasis on in-person collaboration
• A culture rooted in principles of integrity, partnership, and high performance
• An organization with an important social purpose that positively impacts lives

If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here. 

We are presently recruiting for a Quant Engineer to join the newly created Asset Management (AM) team within the Credit Investments (CI) department in Toronto. This is a unique opportunity to help shape the foundational design and implementation of next-generation asset management capabilities for CI’s private credit portfolio.

The Quant Engineer will play a key role, developing technology solutions featuring artificial intelligence to automate and enhance the rigour of our asset management processes. The ideal candidate will bring a strong foundation in software development, data engineering, and a desire to push the frontier of technology in alternative asset management.

Team Description

AM endeavors to develop a best-in-class asset management function to support CI’s growth for the next decade and beyond. The team will consist of credit experts and quantitative engineers collaboratively delivering tech-enabled solutions to drive alpha from operational efficiency, risk mitigation, and proprietary insights.

The team will handle ongoing issuer-level tasks such as performance monitoring, analyses of fundamental data trends, covenant tracking, cashflow and ledger forecasts, valuations, portfolio updates, and other critical asset management activities.  By combining domain expertise with cutting-edge technology – including GenAI and machine learning – AM aims to develop systems and processes that are tailored to CI, highly scalable and generate accretive insights.

The Quant Engineer will work at the intersection of technology and private credit with an opportunity to develop both engineering and capital markets expertise within a large, global credit investment platform.

Accountabilities

• Develop and maintain scalable data pipelines to ingest, transform, and store structured and unstructured credit data from internal and external sources.
• Design and implement technology solutions to automate post-investment credit monitoring processes, such as financial modeling, covenant tracking, risk analytics, and reporting workflows.
• Collaborate with credit professionals to understand business needs, translate requirements into technical specifications, and build robust, user-friendly tools.
• Work in project-based teams to generate ideas, prototype, test, and refine new applications from concept to production.
• Build and deploy agents using machine learning or GenAI to enhance automation and early-warning capabilities across the credit portfolio.
• Ensure system reliability, maintainability, and integration with CI’s broader technology and data infrastructure, including collaboration with the Tech & Data group and external vendors.

• 3-6 years of experience in software development, data engineering, or quantitative analysis, preferably within a financial services or fintech context.
• Proficiency in one or more programming languages such as Python, SQL, or JavaScript; experience with BI tools, building dashboards and web-based applications is highly desirable.
• Experience working with large structured and unstructured datasets, ETL/data ingestion pipelines, and designing database architecture.
• Exposure to document parsing tools and NLP frameworks is a plus (e.g., OCR, Gen AI)
• Experience or interest in credit markets, financial analysis, and private investing.
• Demonstrated ability to work collaboratively in cross-functional teams, with strong communication skills and comfort working with non-technical stakeholders.
• Familiarity with GenAI, LLMs, or machine learning applications is considered a strong asset.
• Undergraduate or graduate degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.

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At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.

We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. 

Our Commitment to Inclusion and Diversity:

In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.

Disclaimer:

CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered.  CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.