IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 22, 2026

Hiring at a glance

View jobs

Open jobs: 2,654
Employers: 1,298

Advertised starting pay

Average starting payCAD / year: $98,430Across 253 listings
Average starting payCAD / hour: $49.07Across 86 listings
Average starting payUSD / year: $117,481Across 54 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%126 listings
Hybrid: 39%1,024 listings
On-site: 56%1,484 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (55), TD (46), Royal Bank of Canada (45).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 21 days ago
Junior Database Administrator
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Full-time
Added 21 days ago
Junior Data Analyst Intern/Co-op
Riverside Natural Foods Ltd.
Toronto, ON
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Systems Administrator
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Data Analyst
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Toronto, ON · North York, ON
$70 to $80 CAD / hour
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Software Development Manager, AWS Payments Experience team
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Senior Data Engineer
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Mississauga, ON
Full-time
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Added 26 days ago
Data Centre Manager
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Calgary, AB
Full-time
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Added 26 days ago
Bilingual Senior Technical Support Analyst
Staples Canada
Richmond Hill, ON
$55,000 to $65,000 USD / year
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AI & Automation Data Scientist Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire Data Scientist en IA et Automatisation (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
$68,348.8 to $105,456 CAD / year
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IBM
Montreal, QC
$68,348.8 to $105,456 CAD / year
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$156,000 to $234,000 USD / year
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Technical Business Analyst
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Remote, Canada
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Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
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Remote, Canada
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Service Desk Analyst
Government of New Brunswick
Fredericton, NB
Full-time
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Principal Application Security Engineer
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Ottawa, ON
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Technical Support Representative
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Vaughan, ON
Full-time
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Cyber Security Analyst
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Ottawa, ON
$85,000 to $100,000 CAD / year
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Strategic Data Architect for Social Impact (Spanish)
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Data Architect (Knowledge Graph & Data Governance)
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Toronto, ON
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…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have…
Added 26 days ago
IT Support Specialist
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Vancouver, BC
$26 to $30 CAD / hour
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CCLIM - Quantitative Equity

Quantitative Equity Data Analyst

Vancouver, BC, Canada

Posting language: English
Posted: Aug 31, 2026

Apply About employer

Applications open in a new tab.

Original job description

We are looking for a Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine - a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research.

Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success.

What You Will Do

This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges.

You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process.

You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources.

You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to grow your career steadily over time. This is an opportunity for ambitious individuals

to drive their career growth in data.

While we take the approach of tailoring the career path to individual strengths, we expect successful candidates for this role to develop excellence in the following tasks:

Create processes to assess, explore, and link billions of data points.
Test structured and unstructured data sets for data quality and reliability.
Assess new data opportunities for quality and usefulness.
Evaluate your data solutions for sensibility, accuracy, and bias.
Collaborate with quantitative researchers – support alpha projects with your data expertise.
Collaborate with technology specialists – help trade off application performance and operational feasibility.
Support production deployments of your work to ensure long-term reliability.
Enable clarity of and access to your work through robust documentation and exposition.
Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner.

What You Bring

Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation.
Financial Knowledge – Desire to acquire the financial context needed to understand your stakeholders and make data decisions with impact.
Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work.
Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts.
Time Management – You are able to manage and prioritize multiple ongoing projects.
Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of a relevant graduate degree is considered an asset.

We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications.

To apply for this position, please submit your resume, cover letter and academic transcripts.

Learn more by exploring our website: www.cclimq.com

CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.

Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.

Apply About employer

More about this job

Responsibilities

You will identify, assess, and integrate large proprietary data sets to support quantitative equity research and investment decisions. Additionally, you will collaborate with researchers and technology specialists to deploy robust data solutions and ensure long-term reliability.

Requirements

Candidates must possess an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or a related discipline. Strong analytical skills, a collaborative mindset, and the ability to manage multiple projects are essential for success in this role.

Skills

Data analysis
Quantitative equity
Data science
Financial knowledge
Statistical validation
Data exploration
Data quality assessment
Structured data
Unstructured data
Critical thinking
Communication
Time management
Collaboration
Documentation
Problem solving

Benefits

Performance bonus

Visa sponsorship

Not detected in the job text

Keywords

Quantitative Equity
Data Analyst
Financial Assets
Investment Engine
Data Products
Data Science
Alpha Projects
Statistical Validation
Data Quality
Data Reliability
Quantitative Research
Application Performance
Production Deployment
Documentation
Stakeholder Management
Finance
Mathematics
Statistics
Computer Science
Engineering

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