Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Python, SQL, Data Science, Machine Learning, Statistical Modeling
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Investment operations, Public markets, System integration, Data migration, Reference data
Montreal, Quebec, Canada · On-site
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Artificial Intelligence, Financial Analysis, Python, SQL, Data Visualization
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: SQL, Snowflake, Data integration, Data analytics, Business intelligence
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Credit underwriting, Infrastructure debt, Project finance, Financial modelling, Valuation analysis
London, England, United Kingdom · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Financial modelling, Accounting analysis, Credit investment, Due diligence, Investment screening
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Security Architecture, Cloud Security, Risk Assessment, Cybersecurity Frameworks, Application Security
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Calendar management, Travel coordination, Administrative support, Communication skills, Organizational skills
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Python, JavaScript, TypeScript, LLM, Databricks
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Product Ownership, Agile Methodology, Backlog Management, Stakeholder Management, Financial Markets Knowledge
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Solution Design, Web Application Development, Snowflake, API Design, Generative AI
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Financial Modeling, Portfolio Management, Performance Analysis, Risk Covenants, Exposure Analysis
Montreal, Quebec, Canada
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Portfolio Monitoring, Data Management, Financial Reporting, ESG Data Collection, Excel
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Financial Analysis, Financial Modelling, Due Diligence, Investment Screening, Valuation
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Azure Integration Services, Azure DevOps, CI/CD, Python, SQL
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Data Analytics, Software Development, Data Delivery
Hong Kong, Hong Kong Island, Hong Kong S.A.R. · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Calendar Management, Travel Coordination, Expense Reporting, Microsoft Office 365, Budgeting
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Capital Planning, Portfolio Analytics, Financial Modelling, Scenario Analysis, Real Estate Investment
Montreal, Quebec, Canada · Hybrid
ABOUT US We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Can…
Skills: Fundamental Research, Financial Modeling, Valuation, Financial Statement Accounting, Equity Research
Montreal, Quebec, Canada • Hybrid
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You will source, clean, and maintain complex datasets while designing data pipelines to support investment decisions through statistical and machine learning modeling. Additionally, you will partner with senior team members to create dashboards and visualizations that translate technical insights for deal teams and stakeholders.
Candidates must hold a Bachelor's or Master's degree in a quantitative field and possess two to three years of experience in data science or quantitative analytics. Strong proficiency in Python and SQL is required, along with experience in data extraction and statistical modeling.
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong.
Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world’s top companies. At PSP Investments, you’ll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.
As a Data Scientist, Data Science and Artificial Intelligence, you will play a hands-on role in harnessing data science to facilitate the generation of alpha for PSP. To this end, you will:
Work within a ten-person team, Alpha Science, dedicated to supporting investment decisions with AI across the whole pension fund and associated entities
Source, build, clean, and maintain datasets that feed Alpha Science's analyses and tools, including market data, alternative data (geolocation, foot traffic, satellite, pricing) and portfolio company data
Design and build data extraction and processing pipelines that turn raw, often messy sources, including documents, filings, and vendor feeds, into analysis-ready datasets
Conduct hands-on analysis and statistical / ML modeling to draw out insights that help deal teams pressure-test, challenge, or validate their investment theses
Partner with senior team members to turn ad-hoc analyses into dashboards, visualizations, and reusable tools for deal teams across PSP's asset classes
Develop a working knowledge of the sectors and datasets within your coverage, building the judgment to identify the questions and analyses most relevant to deal teams' decision-making
Prepare clear, well-structured materials that tell a compelling story with the data for both technical and non-technical stakeholders
Support senior team members in presenting findings directly to deal teams and, where relevant, portfolio company management
Contribute to and leverage the team's broader toolkit, including its LLM-powered tools, as relevant to the projects you're working on
Take ownership of discrete analyses and projects end-to-end, from data sourcing through to the final stakeholder-ready output
Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or any equivalent quantitative degree from a recognized university
Two to three (2-3) years of experience in data science, data engineering, or quantitative analytics, ideally within financial services, investing, or another analytically intensive environment
Strong hands-on proficiency in Python and SQL for data extraction, ingestion, wrangling, analysis, and modeling
Experience extracting and structuring data from varied sources (documents, filings, APIs, vendor feeds) is a strong asset
Experience working with cloud / lakehouse data platforms (e.g., Databricks, Snowflake) is an asset
Practical experience applying statistical or machine learning techniques to real-world, often messy datasets
Experience building dashboards or visualizations (e.g., Power BI, Tableau, or Python-based visualization libraries)
Experience working with alternative or unconventional datasets (e.g., geolocation, foot traffic, satellite, or pricing data) is an asset
Prior exposure to investment, and deals in Public Markets, Real Estate or Natural Resources is an asset
Resourceful and creative, with demonstrated ability to work in a fast-paced environment with shifting priorities
Highly effective written and verbal communication
Proficiency in English and French (or willingness to learn) (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)
We offer a tailored employee experience and competitive total rewards and benefits package designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:
Benefits package may vary based on your employee type.
At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.
Visit us on www.investpsp.com/en/
Follow us on LinkedIn
The Public Sector Pension Investment Board (PSP Investments) is one of Canada's largest pension investors with $320.6 billion of net assets as of March 31, 2026. It manages a diversified global portfolio composed of investments in public financial markets, private equity, real estate, infrastructure, natural resources and private debt. Established in 1999, PSP Investments manages net contributions to the pension funds of the federal Public Service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong. For more information, visit investpsp.com or follow us on LinkedIn. Social media community terms of use At PSP Investments, we welcome respectful and constructive exchanges on our social media accounts. While we encourage your comments on our posts, we reserve the right to delete, hide or block comments that are in violation of our Social Media Community Terms of Use: https://www.investpsp.com/en/footer/terms-use/ Violations of our Terms of Use may also result in the user being permanently blocked from commenting on our accounts.
Offices: 1250 René-Lévesque Boulevard West, Suite 1400, Montréal, Québec H3B 4W8, CA · 450 Lexington Avenue, 450 Lexington Avenue, New York, New York 10017, US · 10 Bressenden Place, 8th floor, London, SW1E 5DH, GB · Prosperity Tower, 39 Queen’s Road Central, Suites 01-05, 22nd Floor, Hong Kong, HK Central, HK
The Public Sector Pension Investment Board (PSP Investments) is one of Canada's largest pension investors with $320.6 billion of net assets as of March 31, 2026. It manages a diversified global portfolio composed of investments in public financial markets, private equity, real estate, infrastructure, natural resources and private debt. Established in 1999, PSP Investments manages net contributions to the pension funds of the federal Public Service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong. For more information, visit investpsp.com or follow us on LinkedIn. Social media community terms of use At PSP Investments, we welcome respectful and constructive exchanges on our social media accounts. While we encourage your comments on our posts, we reserve the right to delete, hide or block comments that are in violation of our Social Media Community Terms of Use: https://www.investpsp.com/en/footer/terms-use/ Violations of our Terms of Use may also result in the user being permanently blocked from commenting on our accounts.
Offices: 1250 René-Lévesque Boulevard West, Suite 1400, Montréal, Québec H3B 4W8, CA · 450 Lexington Avenue, 450 Lexington Avenue, New York, New York 10017, US · 10 Bressenden Place, 8th floor, London, SW1E 5DH, GB · Prosperity Tower, 39 Queen’s Road Central, Suites 01-05, 22nd Floor, Hong Kong, HK Central, HK
