Engineer, Risk, Risk & Total Fund Management
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 3+ years of relevant experience.
- Posting language
- English
- Posted
Original 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’ll contribute to outcomes that matter alongside team members committed to excellence and shared success.
The Role
We are hiring two Engineers to join our Risk Technology team within Risk & Total Fund Management Technology at CPP Investments. Both positions report to the Director.
As a Software Engineer, you will participate in the design, build, test and support of value-add technology solutions and products. You will also work in close partnership with business and technology teams and will acquire sufficient understanding of business and technology to apply critical thought to business and technology requests.
The Team
The Risk Technology team, part of Risk & Total Fund Management Technology group within CPP Investments' Technology & Data department, develops and supports technology solutions that enable the organization's Risk function. Working closely with Investment Risk, Total Portfolio & Risk Analytics, Enterprise Risk and other Technology & Data partners, the team builds and enhances applications, data platforms and analytical capabilities that support investment risk measurement, portfolio risk monitoring, scenario analysis and risk oversight.
The team's work spans software and data engineering, cloud-based platforms, system integrations and emerging technologies, including AI-enabled analytics. Engineers have opportunities to work on complex, data-intensive systems that support critical risk management activities while contributing to the reliability, scalability and continuous improvement of the technology landscape.
Accountabilities
- Participate in the design, build, test and support of technology solutions or enhancements to enable business capabilities, in an Agile environment that includes business and T&D partner teams.
- Apply an understanding of engineering best practices and participate in continuous improvement across the team.
- Build an understanding of the technical landscape and the business capabilities it supports and apply critical thought to business requests.
- Demonstrate agility and innovation by participating in experimentation and solicitation of early feedback, ensuring responsiveness to evolving business needs.
- Participate with colleagues to help frame and think deeply about problems, identifying options.
- Contribute to root cause analysis of operational incidents impacting the products supported by the team.
- Adhere to Agile SDLC and execute related duties as required.
- Maintain strong relationships with business partners, peer technology teams and vendor partners.
- Contribute to the development and enhancement of applications, data pipelines and integrations supporting investment risk measurement, portfolio risk monitoring, scenario analysis, insight generation and other Risk capabilities.
- Collaborate with engineers and Risk business partners to investigate data and application issues, validate analytical outputs and improve the reliability and maintainability of the team's technology solutions.
What You Bring
- Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science).
- 3+ years of relevant experience.
- Experience working with various programming languages (Python, C++, Java, etc.).
- Familiarity with software development concepts, including version control, testing methodologies, and agile development practices.
- Ability to write clean, readable, and well-documented code, while paying attention to details and adhering to coding standards.
- Exposure to financial markets, investment risk management, portfolio risk analytics or enterprise risk management.
- Experience with Python, SQL, APIs, data processing frameworks or application integration technologies.
- Familiarity with cloud platforms such as AWS, CI/CD pipelines, automated testing, monitoring or observability practices.
- Exposure to AI-assisted development, generative AI technologies or automation tools.
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.
More about this job
Responsibilities
The software engineer will design, build, test, and support technology solutions for the Risk Technology team to enable investment risk measurement and portfolio monitoring. They will collaborate with business partners and technology teams to enhance data platforms and analytical capabilities in an Agile environment.
Requirements
Candidates must have an undergraduate degree or diploma in a related field and at least 3 years of relevant experience. Proficiency in programming languages like Python, C++, or Java and familiarity with software development best practices are required.
Skills
- Python
- C++
- Java
- SQL
- Software Engineering
- Data Engineering
- Cloud Platforms
- AWS
- Agile Development
- Risk Management
- Portfolio Analytics
- API Development
- CI/CD
- Automated Testing
- Generative AI
- System Integration
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Finance & Accounting
- Software
- Data & Analytics
- Engineering
Keywords
- Software Engineering
- Risk Technology
- Python
- C++
- Java
- SQL
- AWS
- Cloud Computing
- Agile
- SDLC
- Data Pipelines
- Investment Risk
- Portfolio Analytics
- API
- CI/CD
- Automated Testing
- Generative AI
- Artificial Intelligence
- System Integration
- Financial Markets
- Risk Management
- Data Engineering
- Version Control
- Monitoring
- Observability
- Root Cause Analysis
- Investment Management
- Technology & Data
- Risk Oversight
- Scenario Analysis