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Day 177
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Employment type in the employer’s posting: Full timeFrom the employer’s posting
Develop analytical solutions with business partners for strategic initiatives
Analyze business unit and stakeholder needs to shape analytics solutions
Guide implementation of the Data and Analytics roadmap
Check that analytical methods and modeling choices follow best practices
Contribute to the development of analytical solution with business partners in support of strategic initiatives and vision
Analyze the specific needs of various business units and stakeholders to orient development of Analytical solutions to support their operations
Provide expertise and guidance to support the development, transversal alignment and implementation of the Data & Analytics roadmap
Ensure chosen methodologies pertaining to analytical techniques, approaches and tools are in line with industry’s best practices, and modeling choices are sound
Master’s degree in a relevant discipline completed (financial engineering, analytics, mathematics, etc.); and CFA, FRM or PRM professional designation is an asset
Strong understanding of financial modeling, investment and risk management practices
WHAT YOU’LL NEED - Master’s degree in a relevant discipline completed (financial engineering, analytics, mathematics, etc.); and CFA, FRM or PRM professional designation is an asset - General technical fluency (programming skills in any of Python, SQL, MATLAB, R, Databricks)
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 177 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 177
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,625 similar postings that came down. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Master’s degree in a relevant discipline completed (financial engineering, analytics, mathematics, etc.); and CFA, FRM or PRM professional designation is an asset - General technical fluency (programming skills in any of Python, SQL, MATLAB, R, Databricks) - Minimum of three (3) years of relevant experience
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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.
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.
The Analytics Enablement team, within the Technology, Data and Operations’ (TDO) group, is responsible for the development of analytics solutions for various stakeholders within PSP to enable data driven decision making. We also play a key role in providing support and subject matter expertise to colleagues across PSP throughout their analytics development cycle.
ABOUT YOUR ROLEAs Senior Analyst, Data Analytics Enablement, Analytics , you’ll:
Contribute to the development of analytical solution with business partners in support of strategic initiatives and vision
Analyze the specific needs of various business units and stakeholders to orient development of Analytical solutions to support their operations
Provide expertise and guidance to support the development, transversal alignment and implementation of the Data & Analytics roadmap to enable data driven decision making and help meet and exceed corporate objectives
Ensure chosen methodologies pertaining to analytical techniques, approaches and tools are in line with industry’s best practices, and modeling choices are sound
Master’s degree in a relevant discipline completed (financial engineering, analytics, mathematics, etc.); and CFA, FRM or PRM professional designation is an asset
General technical fluency (programming skills in any of Python, SQL, MATLAB, R, Databricks)
Minimum of three (3) years of relevant experience
Strong understanding of financial modeling, investment and risk management practices
Demonstrate strong analytical abilities, problem solving skills and understanding of the business to support the stakeholders
Excellent communications skills, both written and spoken (bilingualism French and English)
Bilingualism: English and French (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/
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Montreal
- Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off - A hybrid work model that includes four in-office days, Monday through Thursday - The opportunity to work temporarily from another location in accordance with the applicable policy
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