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Day 7
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Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and build end-to-end data workflows, from ingestion to deployment
Build Python-based automation to cut manual effort in workflows
Develop analytics, dashboards and reporting for portfolio and trading decisions
Support models used in portfolio construction, rebalancing and research
Analyze investment and operational data to find process efficiency gains
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.
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.
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.
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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
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
What You Bring
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.
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Toronto
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