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, 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.

Role Summary:

We are seeking a highly motivated and detail-oriented Associate to join our Investment Engineering team. This role entails significant collaboration within the team and across various departments of the fund. The successful candidate will be empowered to own results and deliver end-to-end solutions—from raw data ingestion to production-ready analytics and reporting tools.

The Investment Engineering team works closely on portfolio management, rebalancing, tactical allocation, and research activities across TFM. The team manages and enhances the data, processes, and models that underpin these activities, ensuring scalability, accuracy, and efficiency. This role is focused on leveraging AI to transform how work gets done. The Associate will identify inefficiencies, redesign workflows, and build scalable solutions that reduce manual effort and operational complexity. This includes developing decision-support tools, automating processes, and using AI-assisted approaches to accelerate development and improve investment decision-making.

The team also oversees project management and delivery on strategic initiatives related to portfolio construction, analytics, and investment processes, collaborating with technical partners and business groups to achieve project goals. The successful candidate will operate across data, analytics, and workflow design—taking ownership of problems end-to-end and continuously refining solutions based on real-world usage and stakeholder feedback.

Accountabilities & Qualifications:

Accountabilities

• Design and implement end-to-end data workflows, including data ingestion, transformation, analytics, and deployment.
• Leverage AI assisted tools to accelerate development and contribute to the design/implementation of AI-enabled solutions to reduce manual effort and operational complexity.
• Collaborate closely with different pods within Investment Engineering and other functional and strategic areas across the fund.
• Assist in managing workflows involving handoffs between different areas of the team.
• Develop and enhance data analytics, dashboards, and reporting capabilities to support portfolio management and investment decision-making.
• Analyze investment and operational data, identifying opportunities for optimization and efficiency gains.
• Support the development and maintenance of models and analytics used in portfolio construction, rebalancing, and research activities.
• Participate in project management within assigned pods under the guidance of area Subject Matter Experts (SMEs).
• Offload tasks to automated capabilities to enhance efficiency, including leveraging AI and Python-based solutions.
• Help deliver new capabilities and increase the capacity of partner business teams.

Qualifications

• Bachelor’s degree in finance, engineering, computer science, mathematics or the equivalent
• 3 - 5 years of experience in a related role within finance or investment management.
• Exposure to portfolio construction, portfolio analytics, or financial modelling is considered an asset.
• Strong analytical and problem-solving skills, with an interest in applying data-driven and AI-driven approaches to business problems.
• Proficiency in Python is required; experience with data science libraries (e.g., pandas, NumPy) is a strong asset.
• Experience with data visualization and dashboarding tools (e.g., Dash, Streamlit, Quicksight) is preferred.
• Familiarity with SQL and data querying is an asset.
• Experience or interest in AI/ML techniques, prompt engineering, or automation is a plus.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a fast-paced and dynamic environment.
• Familiarity with project management principles is a plus.

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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.

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