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
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Cybersecurity, Incident management, Threat hunting, Purple teaming, SIEM
Montreal, Quebec, Canada · On-site
$28/hr–$32/hr
At Kabam, we’re constantly raising the bar of excellence in free-to-play gaming. We hire for passion and diversity so that we can triumph in our collective skill. Our teams are made up of a fusion of personalities and in…
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Montreal, Quebec, Canada · Hybrid
The SAP Security & Compliance Specialist is responsible for maintaining the integrity, confidentiality, and availability of BRP’s SAP Security landscape while ensuring continuous compliance with corporate governance and …
Skills: Sap Security, Sap Grc Access Control, It Compliance, Sox Itgc, Nist Csf
Montreal, Quebec, Canada · Hybrid
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Observability, Linux, Unix, Windows, Dynatrace
Montreal, Quebec, Canada · Hybrid
$18/hr–$36/hr
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talen…
Skills: Java, Cloud development, Microservices architecture, Agile software engineering, Version control systems
Montreal, Quebec, Canada · Hybrid
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Data Architecture, Microsoft Fabric, Azure, Data Engineering, Lakehouse
Montreal, Quebec, Canada · Hybrid
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Data Architecture, Microsoft Fabric, Azure, Data Engineering, Lakehouse
Montreal, Quebec, Canada · Hybrid
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Cybersecurity, SOC, SIEM, Kibana, EDR
Montreal, Quebec, Canada · Hybrid
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Microsoft Windows, Windows Server, Intune, PowerShell, Active Directory
Montreal, Quebec, Canada · On-site
Job Description: The client envisions an independent Drupal developer focused on delivering websites within a multidisciplinary Agile team at the digital foundation. The core of the role is backend development: designing…
Skills: Drupal, Backend Development, Custom Module Development, Agile Methodologies, Code Review
Montreal, Quebec, Canada · Hybrid
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Observability, Infrastructure monitoring, Linux, Unix, Windows
Montreal, Quebec, Canada · Hybrid
We’re seeking someone to join our Securities Reference Data team as a Java Tech Lead to drive the evolution of strategic reference data platforms supporting Index and Exchange-Traded Funds (ETF) data mastering, distribut…
Skills: Java, Python, SQL, REST APIs, Microservices
Lévis, Quebec, Canada · Hybrid
The GEN AI Hub’s goal is to accelerate Desjardins General Insurance Group (DGIG)’s adoption of emerging generative AI technologies by acting as a centre of innovation, expertise and governance in compliance with Desjardi…
Skills: Generative AI, Prompt engineering, AI agents, Change management, Agile practices
Lévis, Quebec, Canada · Hybrid
As a Senior Advisor, IT Architecture, you design IT solutions to meet project business needs using Desjardins Group’s architecture targets and shared platforms. You ensure consistency with the organization’s structure, a…
Skills: Data architecture, IT solutions design, Strategic planning, Stakeholder management, Application architecture
Lévis, Quebec, Canada · Hybrid
As a Senior Advisor, IT Architecture, you design IT solutions to meet project business needs using Desjardins Group’s architecture targets and shared platforms. You ensure consistency with the organization’s structure, a…
Skills: Data architecture, IT solutions design, Strategic planning, Stakeholder management, Application architecture
Montreal, Quebec, Canada · Hybrid
$111k–$155k/yr
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane …
Skills: Python, Software Architecture, Microservices, AWS, Cloud Infrastructure
Montreal, Quebec, Canada · Hybrid
Bienvenue chez Warner Bros. Discovery... l'étoffe dont sont faits les rêves Qui sommes-nous... Lorsque nous parlons de l'étoffe dont sont faits les rêves, nous ne faisons pas seulement référence au monde des sorciers, de…
Skills: Animation, Character animation, Motion capture, Keyframe animation, Maya
Montreal, Quebec, Canada · Hybrid
Job Requisition ID # 26WD100398 English will follow Aperçu du poste Voici une opportunité exceptionnelle de collaborer avec des professionnels qui développent certaines des solutions d'animation 3D les plus avancées pour…
Skills: C++, Debugging, Computer graphics, 3D programming, 3D animation
Montreal, Quebec, Canada · Hybrid
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think be…
Skills: Microsoft Windows, Windows Server, Intune, PowerShell, Active Directory
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.
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