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Quantitative Researcher Jobs in Toronto, ON (NOW HIRING)

While the role requires credible quantitative fluency, it is not intended to be a Front Office quant research role. What you'll accomplish with us Front Office Co-Development Partner with Front ...

Quantitative Developer

Toronto, ON · Hybrid

CA$120K - CA$130K/yr

Through research and development initiatives in our FinLabs we develop solutions for modernization ... Our challenge We are seeking a highly skilled and motivated Quantitative Developer to join our ...

Quant Developer

Toronto, ON

CA$80K - CA$130K/yr

Support the Quantitative Research and Investments team as a member of theQuantitative Development team * Apply your financial knowledge to interpret requirements and implement solutions * Use Python ...

Experience working with quantitative research or trading desks. * Familiarity with model validation practices and regulatory expectations. What We Offer * A hybrid work arrangement across major ...

Experience working with quantitative research or trading desks. * Familiarity with model validation practices and regulatory expectations. What We Offer * A hybrid work arrangement across major ...

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Quantitative Researcher information

See Toronto, ON salary details

$86.4K

$148.8K

$213.3K

How much do quantitative researcher jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quantitative researcher in Toronto, ON is $148,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,089.00 and $181,801.00 per year, depending on experience, location, and employer.

What is a quantitative researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What are the key skills and qualifications needed to thrive as a quantitative researcher?

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.

What are some common challenges quantitative researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

Do I need a PhD to be a quantitative researcher?

A PhD is often preferred for quantitative researcher roles, especially in finance or academia, as it demonstrates advanced analytical and statistical skills. However, some positions may accept candidates with a master's degree or equivalent experience in mathematics, statistics, or related fields, along with strong programming skills in tools like Python or R.

What are the most commonly searched types of Quantitative Researcher jobs in Toronto, ON?

The most popular types of Quantitative Researcher jobs in Toronto, ON are:

What are popular job titles related to Quantitative Researcher jobs in Toronto, ON?

For Quantitative Researcher jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Quantitative Researcher jobs in Toronto, ON look for?

The top searched job categories for Quantitative Researcher jobs in Toronto, ON are:

Infographic showing various Quantitative Researcher job openings in Toronto, ON as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $148,833 per year, or $71.6 per hour.

Quantitative Research Lead, Construction & Platform

Autodesk

Toronto, ON • On-site

Full-time

Posted 11 days ago


Key responsibilities

  • Build our quantitative understanding of critical user journeys, including their frequency, importance, pain points, and outcomes.

  • Design and execute quantitative research using surveys, behavioral data, experiments, and other methods.

  • Translate quantitative evidence into clear recommendations that inform product prioritization, strategy, and investment decisions.


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

26th of 247 rated software companies


Job description

Job Requisition ID #

26WD98230
  • Position Overview

    At Autodesk, we help our customers design and make anything. The AEC User Success team plays a critical role in creating experiences and product solutions that help our customers achieve meaningful outcomes faster.

    As a Principal Quantitative User Experience Researcher, you will shape how Autodesk AEC quantitatively understands users, critical user journeys, and product experience. You will bring deep expertise in quantitative research, survey science, and statistics, working alongside qualitative researchers, Data Science, Product Analytics, and product teams to connect what users say with what they do.

    Your work will help teams answer consequential product questions: Which user problems matter most? How widespread and severe are they? Which populations and journeys are most affected? Where should we invest? And did the changes we made actually improve the experience?

    As a Principal-level practitioner, you will both lead sophisticated research and build the quantitative capability of the broader AEC research organization - establishing approaches, advising others, and raising the quality and impact of quantitative evidence in product decision-making.This role reports to the Director, User Research, AEC.


    Travel: Approximately 2-4 times per year across North America

    Responsibilities

    Experience & Journey Measurement

    • Build our quantitative understanding of critical user journeys, including their frequency, importance, pain points, and outcomes, to identify where experience improvements can create the greatest user value.

    • Establish scalable approaches for experience measurement and benchmarking across products, journeys, and competitive experiences, enabling teams to understand change over time.

    • Design and execute quantitative research using surveys, behavioral data, experiments, and other methods appropriate to the research question.

    • Develop approaches for measuring emerging AI and agentic experiences, including usefulness, quality, trust, adoption, and overall experience.

    Attitudinal + Behavioral Integration

    • Partner closely with Data Science and Product Analytics to integrate attitudinal and behavioral data and develop a more complete understanding of users, journeys, and outcomes.

    • Identify opportunities for more advanced approaches - including segmentation, predictive modeling, and experimentation - and partner with Data Science to pursue them when appropriate.

    Strategic Product Decision Support

    • Translate quantitative evidence into clear recommendations that inform product prioritization, strategy, and investment decisions.

    • Build quantitative research capability across AEC by establishing practices, advising and mentoring researchers, and shaping the longer-term direction of the discipline.

    Minimum Qualifications

    • 8+ years of related experience applying quantitative research methods to complex, ambiguous product questions, with a demonstrated track record of operating at a senior or principal level of scope and impact.

    • Deep expertise in quantitative research design, applied statistics, and survey methodology, including sampling, measurement, bias, and validity.

    • Proficiency in R, Python, SQL or comparable statistical tools and experience working with large or complex datasets.

    • Demonstrated ability to integrate quantitative research with behavioral, qualitative, or business data to generate actionable insights.

    • Strong communication and influencing skills, including the ability to translate complex evidence, uncertainty, and tradeoffs for product teams and senior leaders.

    • Experience operating independently in ambiguous environments and shaping research approaches and priorities.

    Preferred Qualifications

    Experience with one or more of the following:

    • Partnering closely with Data Science or Product Analytics to integrate survey and behavioral data, with exposure to segmentation, predictive modeling, and/or experimentation.

    • Evaluating AI-enabled products or other emerging technologies.

    • Working across complex, multi-product ecosystems.

    • Building quantitative capability through consultation, mentoring, shared practices, or standards.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $112,000 and $163,900. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982