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Added 16 mins ago
V
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Added 1 hour ago
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Embedded Firmware Developer
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Added 4 hours ago
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Manager, Software (Embedded & Digital Products)
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Strong knowledge of C/C++, embedded Linux or RTOS environments, device communications, firmware lifecycle management, hardware and software integration, and debugging practices.
Added 4 hours ago
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Sr. Consultant, Full Stack Developer
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Added 4 hours ago
BP
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- Full-time
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Added 4 hours ago
Postdoctoral Fellow, Reinforcement learning and vision
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CPP Investments | Investissements RPC

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

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 30, 2026
Experience: 3–5 years of relevant experience in finance, investment management or a related field.
Posting language: English
Posted: Oct 27, 2026

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

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.

Apply About employer

More about this job

Responsibilities

You will develop scalable data, analytics, and AI-enabled solutions to support portfolio management, trading, and investment decision-making. Additionally, you will collaborate with cross-functional teams to modernize investment processes and automate workflows for improved operational efficiency.

Requirements

Candidates must hold a bachelor's degree in finance, engineering, computer science, or mathematics. You should have 3–5 years of relevant experience and proficiency in Python with strong analytical and problem-solving skills.

Skills

Python
Data engineering
Data analytics
AI-enabled solutions
Portfolio management
Trading
Automation
Workflow optimization
Pandas
NumPy
SQL
Dash
Streamlit
QuickSight
Prompt engineering
Financial modeling

Benefits

Cutting-edge AI tools
Dedicated learning time

Visa sponsorship

Not detected in the job text

Keywords

Investment Engineering
Data Analytics
AI
Python
Portfolio Management
Trading
Automation
Pandas
NumPy
SQL
Dash
Streamlit
QuickSight
Prompt Engineering
Financial Products
IBOR
Murex
Data Ingestion
Workflow Optimization
Investment Research
Total Fund Management
Market Execution
Data Visualization
Machine Learning
Project Management

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