Associate, Investment Engineering (12-month contract)

CPP Investments | Investissements RPC•Toronto, ON

7d•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-end solutions—from raw data ingestion to production-ready analytics and reporting tools. The Investment Engineering team closely with all groups of TFM, including trading, financing, as well as portfolio management and research. The team also works closely with partners in Technology and Data to ensure the applications and processes are stable, scalable, accurate, and meets the needs of business users throughout TFM and the wider fund. This role is focused on the improvements of public markets infrastructure as well as related analytics and data needs for TFM. Activities will include supporting and improving existing trading and financing infrastructure, as well as data and analytical workflows. 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.
Familiar with AI-driven work flows to approaches to business problems.
Proficiency in Python is required; experience with data science libraries (e.g., pandas, NumPy) is a strong asset.
Experience working with public market trading data, large data sets, and latency sensitive workflows.
Familiar with both relational and non-SQL databases.
Excellent communication and interpersonal skills.
Ability to work collaboratively in a fast-paced and dynamic environment.

Nice To Haves

Experience working within a front-office trading environment is a plus.
Familiarity with project management principles is a plus.
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.

Responsibilities

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, data pipelines, trade system monitoring and other platforms to support public markets trading.
Analyze operational data, identifying opportunities for optimization and efficiency gains.
Design and implement end-to-end data workflows, including data ingestion, transformation, analytics, and deployment.
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.