Senior Engineer, Risk, Risk & Total Fund Management Technology

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

As a Senior Software Engineer on the Risk Technology team, you will design, build, test and support scalable technology solutions that enable CPP Investments’ investment risk management capabilities.

Working closely with Risk business partners and Technology & Data teams, you will develop and enhance applications, data platforms and integrations that support risk measurement, portfolio monitoring and analytics. You will apply engineering best practices, solve complex technical challenges and contribute to the reliability and continuous improvement of critical technology solutions.

The Team

CPP Investments’ Technology & Data department delivers technology and data capabilities that support the organization’s investment and business activities. Within the Risk & Total Fund Management Technology group, the Risk Technology team develops and supports applications, data platforms and analytical solutions that enable investment risk measurement, portfolio risk monitoring, scenario analysis and risk oversight.

Working closely with Investment Risk, Total Portfolio & Risk Analytics, Enterprise Risk and Technology & Data partners, the team builds scalable, reliable solutions across software engineering, cloud platforms, data integration and emerging technologies, including AI-enabled analytics.

Accountabilities

• Design, develop, test and support scalable applications, data pipelines and integrations that enable investment risk measurement, portfolio monitoring, scenario analysis and other Risk capabilities.
• Apply advanced software engineering practices, including Agile development, automated testing and continuous integration, to deliver reliable, maintainable technology solutions.
• Partner with Risk stakeholders and Technology & Data teams to understand business requirements, evaluate technical alternatives and recommend effective solutions.
• Investigate complex application and data issues, validate analytical outputs and lead root cause analysis to improve system accuracy, performance and operational resilience.
• Research and evaluate emerging technologies, engineering practices and cloud-based solutions to drive innovation and continuous improvement.
• Collaborate with business and technology partners to solve complex problems, build consensus and deliver solutions aligned with evolving business needs.
• Provide technical guidance, mentor colleagues and promote knowledge sharing, engineering quality and continuous learning.

What You Bring

• Undergraduate degree or college diploma in Computer Science, Engineering or a related field, with 5+ years of relevant software engineering or development experience.
• Strong programming experience in Python or Java, with the ability to develop clean, maintainable, well-documented code.
• Experience with AWS or another cloud platform, including designing, developing or supporting cloud-based applications and services.
• Strong understanding of software development principles, version control, testing methodologies, Agile practices and engineering standards.
• Strong analytical and problem-solving skills, with the ability to assess complex technical challenges, evaluate alternatives and recommend practical solutions.
• Effective communication and collaboration skills, with the ability to work independently, partner with stakeholders and support the development of colleagues.
• Additional assets include experience with SQL, AWS data services, Apache Airflow, Terraform, GitHub Actions, Plotly Dash, Kubernetes, generative AI frameworks or investment risk concepts such as Value at Risk (VaR), risk limits and market, liquidity, credit or counterparty risk.

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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