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

CPP Investments | Investissements RPC•Toronto, ON

3d•Onsite

About The Position

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.

Requirements

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.
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.
Excellent communication and interpersonal skills.
Ability to work collaboratively in a fast-paced and dynamic environment.

Nice To Haves

Exposure to portfolio construction, portfolio analytics, or financial modelling is considered an 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.
Familiarity with project management principles is a plus.

Responsibilities

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.