Associate, Investment Engineering & Analytics (12-month contract)

CPP Investments | Investissements RPC; Toronto; On-site; CAD 110,000 - 140,000; Full time

Job summary

CPP Investments | Investissements RPC in Toronto is seeking an Associate, Investment Engineering & Analytics to develop scalable data, analytics and AI-enabled solutions for portfolio management, trading and investment decision-making.

You will collaborate across investment engineering and business teams to deliver end-to-end solutions, modernize processes, automate workflows and enhance operational efficiency while applying data-driven approaches to investment challenges.

Qualifications

• Bachelor's degree in finance, engineering, computer science, mathematics or an equivalent qualification.
• 3–5 years of relevant experience in finance, investment management or a related field.
• Proficiency in Python, with experience using data science libraries such as pandas or NumPy considered a strong asset.
• Strong analytical and problem-solving skills, with an interest in applying data-driven and AI-driven approaches to business and investment challenges.
• Exposure to market execution, financial products, portfolio analytics or IBOR/Murex considered an asset.
• Experience with data visualization and dashboarding tools such as Dash, Streamlit or QuickSight is preferred; familiarity with SQL and data querying is an asset.
• Experience or interest in AI/ML techniques, prompt engineering or automation, with strong communication and collaboration skills.

Responsibilities

• Design, develop and implement end-to-end data workflows, including data ingestion, transformation, analytics and deployment.
• Leverage AI-assisted development tools and Python-based automation to build scalable solutions, streamline workflows and reduce manual effort and operational complexity.
• Develop and enhance data analytics, dashboards and reporting capabilities to support portfolio management, trading and investment decision-making.
• Support the development and maintenance of models and analytics used in portfolio construction, rebalancing and investment research.
• Analyze investment and operational data to identify opportunities for process optimization, automation and efficiency improvements.
• Collaborate with investment engineering teams and functional and strategic partners across the Fund to coordinate workflows, manage handoffs and deliver integrated solutions.
• Contribute to project management and delivery within assigned teams, working with subject matter experts and business partners to advance new capabilities and continuously improve solutions.

Skills

Python

pandas

NumPy

Data visualization

Dash

Streamlit

QuickSight

SQL

AI/ML

Education

Bachelor's degree in finance, engineering, computer science, mathematics

Tools

Murex

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.

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 an Associate, Investment Engineering & Analytics, you will develop scalable data, analytics and AI-enabled solutions that support portfolio management, trading and investment decision-making within Total Fund Management (TFM). As part of the Total Portfolio Investment Platforms team, you will collaborate across investment engineering and business teams to deliver end-to-end solutions, from data ingestion to production-ready analytics and reporting tools. You will help modernize investment processes, automate workflows and enhance operational efficiency while supporting initiatives related to data, analytics and market execution.

The Team Total Fund Management (TFM) supports the management of the Fund's overall portfolio, including portfolio construction, rebalancing and investment activities that contribute to CPP Investments' long-term investment objectives. Within TFM, the Total Portfolio Investment Platforms team develops and enhances the data, processes and models supporting portfolio management, rebalancing, trading and research. The team collaborates across the Fund to deliver strategic initiatives related to public market modernization, data, analytics and market execution, with a focus on scalable solutions, automation and AI-enabled capabilities.

Accountabilities

• Design, develop and implement end-to-end data workflows, including data ingestion, transformation, analytics and deployment.
• Leverage AI-assisted development tools and Python-based automation to build scalable solutions, streamline workflows and reduce manual effort and operational complexity.
• Develop and enhance data analytics, dashboards and reporting capabilities to support portfolio management, trading and investment decision-making.
• Support the development and maintenance of models and analytics used in portfolio construction, rebalancing and investment research.
• Analyze investment and operational data to identify opportunities for process optimization, automation and efficiency improvements.
• Collaborate with investment engineering teams and functional and strategic partners across the Fund to coordinate workflows, manage handoffs and deliver integrated solutions.
• Contribute to project management and delivery within assigned teams, working with subject matter experts and business partners to advance new capabilities and continuously improve solutions.

What You Bring

• Bachelor's degree in finance, engineering, computer science, mathematics or an equivalent qualification.
• 3–5 years of relevant experience in finance, investment management or a related field.
• Proficiency in Python, with experience using data science libraries such as pandas or NumPy considered a strong asset.
• Strong analytical and problem-solving skills, with an interest in applying data-driven and AI-driven approaches to business and investment challenges.
• Exposure to market execution, financial products, portfolio analytics or Investment Book of Record (IBOR)/Murex considered an asset.
• Experience with data visualization and dashboarding tools such as Dash, Streamlit or QuickSight is preferred; familiarity with SQL and data querying is an asset.
• Experience or interest in AI/ML techniques, prompt engineering or automation, combined with strong communication, collaboration and interpersonal skills; familiarity with project management principles is an asset.

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.