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Research Data Manager Jobs in Quebec (NOW HIRING)

... R&D et d'ingenierie dans tous les secteurs. Joignez-vous a nous pour une carriere pleine ... Advanced data analysis and data quality management skills. Proficiency in SQL and relational ...

Execute and manage studies of moderate to high complexity; * Design, write, review, and edit study ... Prepare, review, and finalize draft and final reports documenting all study procedures, data, and ...

This role lives where research meets infrastructure: you'll form hypotheses, test them fast with ... tooling, context management, evals, guardrails (that do meaningful work against our data and ...

... statements; manage client user access and address change requests through research and ... Reference Data Management. * Language Skills: Mandatory fluency in English (written and verbal)

New

This role lives where research meets infrastructure: you'll form hypotheses, test them fast with ... tooling, context management, evals, guardrails (that do meaningful work against our data and ...

About the job Do you think like a management consultant, thrive in a startup environment, and can't ... Research and develop new technical approaches to address challenges efficiently in the marketing ...

Manage the data lifecycle. Map collected data based on specific attributes. Validate data as it ... Strong research and learning abilities. Analytical mindset with excellent problem-solving skills.

Manage the data lifecycle. Map collected data based on specific attributes. Validate data as it ... Strong research and learning abilities. Analytical mindset with excellent problem-solving skills.

Showing results 41-60

Research Data Manager information

See Quebec salary details

$30K

$66.4K

$107K

How much do research data manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for research data manager in Quebec is $66,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $96,500.00 per year, depending on experience, location, and employer.

What is a research data manager?

Research Data Managers are professionals responsible for overseeing the collection, organization, storage, and sharing of research data throughout the lifecycle of a research project. They ensure data integrity, security, and compliance with relevant legal, ethical, and institutional requirements. Their work enables researchers to manage data efficiently, promote data sharing, and support reproducibility and transparency in research.

What are the key skills and qualifications needed to thrive as a research data manager?

To thrive as a Research Data Manager, you need expertise in data management, database design, and knowledge of regulatory compliance, often supported by a degree in information science or a related field. Familiarity with data management systems (such as REDCap or SQL databases), data security protocols, and relevant certifications like Certified Research Data Manager (CRDM) is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for coordinating with research teams and ensuring data integrity. These abilities ensure that research data is accurate, secure, and accessible, supporting the success and credibility of scientific projects.

What are some common challenges faced by research data managers, and how can they be addressed in day-to-day work?

Research Data Managers often encounter challenges such as ensuring data integrity, managing large volumes of diverse data, and complying with data privacy regulations. To address these issues, they implement robust data management plans, maintain clear documentation, and regularly conduct data audits. Effective collaboration with researchers and IT staff is also essential to streamline workflows and troubleshoot data-related issues, ensuring the research process remains efficient and compliant.

What is the difference between Research Data Manager vs Data Analyst?

AspectResearch Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Management, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch institutions, universities, clinical trials, or research labsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsagePrimarily in research settings managing data collection, storage, and complianceAnalyzing data to inform business decisions across various industries

Research Data Managers focus on organizing, maintaining, and ensuring the integrity of research data within academic or clinical research environments. Data Analysts interpret and analyze data to generate insights for business or research purposes. While both roles require strong data skills, Research Data Managers emphasize data management and compliance, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Research Data Manager jobs in Quebec?

For Research Data Manager jobs in Quebec, the most frequently searched job titles are:

Infographic showing various Research Data Manager job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $66,363 per year, or $31.9 per hour.

Senior Analyst / Associate, Global Alpha, Fundamental Research Platform

PSP Investments

Montreal, QC • On-site

Full-time

Retirement, PTO

Re-posted 14 days ago


Job description

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 thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal 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.


ABOUT THE TEAM

The Fundamental Research Platform is a team of sector specialists providing deep, bottom-up research across the global markets in which PSP invests. Our primary role is to support PSP's internally managed active equities strategies.

You will sit within the Financials sector team, report to the sector lead, and partner directly with portfolio managers across PSP's active equities mandates. The sector team owns coverage depth; the portfolio managers own portfolio construction. The best ideas come from the interaction between the two: deep sector knowledge held against a portfolio-wide view of risk, opportunity, valuation, and conviction.

Initial coverage will be set based on team needs and the candidate's background, but may include banks, insurers, asset managers, brokers, and other financial services companies across global markets.

ABOUT YOUR ROLE

We are looking for someone who wants to understand how financial sector companies create economic value - and has the rigour to identify when the market is overestimating or underestimating that value.

As a Senior Analyst / Associate on PSP's Financials team within the Fundamental Research Platform, you will own a defined coverage universe, develop differentiated investment views, and work with portfolio managers to translate research into portfolio decisions across PSP's internally managed active equities mandates.

This is a research role, not a support role. You will be expected to build real coverage depth, form independent views, and contribute directly to investment decisions. The fundamentals - filings, models, industry calls, valuation - are table stakes. The job is to go further: to identify what matters, test it rigorously, and develop insight the market has not yet priced.

The final title will be calibrated based on experience; the expectations above remain the same.

We expect analysts to be fluent with large language models and modern AI research tools, and to use them regularly - within PSP's governance and confidentiality standards - to interrogate filings and transcripts, reconcile data, accelerate model scaffolding, and synthesize research in hours rather than days.

What matters most is judgment: knowing where these tools help, where they fail, and how to verify the work before it influences an investment decision. We are looking for someone who can use AI to move faster without becoming less rigorous.

As a Senior Analyst / Associate, you'll:

  • Own coverage : Take responsibility for a defined slice of the financials universe - building and maintaining models, tracking the operating metrics that matter, and knowing the companies well enough to anticipate the key debates before results are released

  • Build the case, then test it : Develop investment theses and bring both the bull and the bear case to the team. We care less about being right on the first pass than about pressure-testing assumptions until what remains is durable

  • Translate research into portfolio-relevant conclusions: Be clear about what your work implies: what we should own, avoid, add to, trim, or continue monitoring - and why now

  • Conduct primary research: Build and use a network of sell-side analysts, industry consultants, experts, and company contacts. Run channel checks. Attend management meetings and conferences and come back with something the transcript did not already say

  • Make recommendations: Bring stock actions to portfolio managers as the risk/reward shifts and monitor names you have underwritten against their thesis - flagging when the story starts to break before the price does

  • Understand risk: Assess valuation, expectations, positioning, factor exposure, disruption, cyclicality, capital allocation, and downside scenarios - and be clear about what would change your mind

  • Support the wider platform: Lend your sector perspective to alternative and private-market teams when they are evaluating financial sector businesses, where a public-market view can sharpen a private-market decision

  • Improve how the team works: Help automate repetitive parts of the research process and act as a bridge to our data, analytics, and portfolio-operations colleagues

This role involves regular travel to conferences and company meetings.

WHAT YOU'LL NEED
  • Typically, five (5) to ten (10) years in a role involving rigorous fundamental work - buy-side research, sell-side equity research, investment banking, or fund management. A track record covering the financial sector is a clear advantage

  • Strong fundamental and financial-analysis skills, with advanced financial modeling and valuation. You should be able to build a defensible model from a blank sheet, not only maintain an existing one

  • A comprehensive understanding of financial statement accounting and a relentless attention to detail

  • Proficiency with the standard tools - Excel, Bloomberg, and a financial-data platform (Capital IQ, FactSet, or similar)

  • Comfort building lightweight automations or workflows to make research faster; familiarity with Python or a similar language is an asset, not a requirement

  • The ability to synthesize a large volume of information into a clear, honest, and persuasive view - in writing and in person - for an audience that will challenge it

  • Sound judgment, and the self-awareness to separate conviction from overconfidence

  • The independence to form your own view and the discipline to follow a shared process

  • Initiative and genuine curiosity - the instinct to look past the surface fact and understand what really is driving value

  • A collaborative disposition. This is a high-performance team that would rather coach than compete internally

  • The composure to work under pressure and meet tight deadlines without a drop in quality

  • An undergraduate degree in a relevant field from an accredited institution. A graduate degree is welcome but not required

  • Progress toward the CFA designation is an asset

  • 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:

  • Investment in career development

  • Comprehensive group insurance plans

  • Competitive pension plans

  • Unlimited access to virtual healthcare services and wellness programs

  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers

  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance

  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

  • A hybrid work model with a mix of in-office and remote days

*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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