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Remote Quantitative Researcher Jobs in Toronto, ON

Reach3 Insights

Senior Research Consultant

Toronto, ON · On-site +1

CA$85K - CA$110K/yr

... remote model. For this role, our priority is hiring candidates based in or near our Toronto hub ... Visualizing and reporting quantitative and qualitative findings, * Custom report writing and taking ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science ... Experience at a leading technology, research, or quantitative firm. * Strong command of Python ...

Mercor

Economics PhD - Benchmark Specialist

Toronto, ON · On-site +1

CA$77 - CA$98/hr

Remote Commitment: 10+ hours/week Role Responsibilities * Author original economics and finance ... Strong command of graduate-level economic theory, quantitative methods, and financial modeling.

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Remote Quantitative Researcher information

What is a remote quantitative researcher?

A Remote Quantitative Researcher is a professional who analyzes and interprets numerical data to help organizations make informed decisions, typically from a remote location. They use statistical methods, mathematical models, and computer algorithms to identify patterns, test hypotheses, and generate insights. These researchers often work in fields such as finance, economics, healthcare, and social sciences. By working remotely, they leverage digital tools to collaborate with teams and access data, enabling flexibility and access to global opportunities.

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

To thrive as a Remote Quantitative Researcher, you need strong analytical skills, advanced mathematical or statistical knowledge, and typically a degree in a quantitative field such as mathematics, statistics, or economics. Expertise in programming languages like Python or R, experience with statistical modeling tools, and familiarity with data analysis platforms are commonly required. Excellent problem-solving abilities, attention to detail, and clear written communication are standout soft skills for this role. These competencies enable effective remote collaboration, high-quality research output, and the ability to draw actionable insights from complex data.

How does a remote quantitative researcher typically collaborate with team members across different time zones?

As a Remote Quantitative Researcher, effective collaboration across time zones is essential and often facilitated through asynchronous communication tools like Slack, email, and project management platforms. Regularly scheduled virtual meetings, such as weekly stand-ups or brainstorming sessions, help maintain alignment and foster teamwork. Sharing code, data, and research findings via cloud-based repositories ensures transparency and accessibility for all team members. Flexibility in working hours and clear documentation of methodologies also play a key role in minimizing misunderstandings and keeping projects on track.

What is the difference between Remote Quantitative Researcher vs Remote Data Analyst?

AspectRemote Quantitative ResearcherRemote Data Analyst
Required CredentialsTypically requires a master's or Ph.D. in statistics, mathematics, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentConducts research, develops models, and analyzes large datasets for research projectsFocuses on interpreting data, creating reports, and supporting business decisions
Employer & Industry UsageUsed in academia, research institutions, and R&D departments of tech and finance firmsCommon in corporate, marketing, finance, and healthcare sectors

While both roles involve data analysis, Remote Quantitative Researchers primarily focus on developing models and conducting research, often requiring advanced degrees. Remote Data Analysts interpret data to inform business decisions, typically with a broader range of educational backgrounds. Both roles are essential in data-driven industries but serve different functions within organizations.

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 Remote Quantitative Researcher jobs in Toronto, ON?

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

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

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

Remote Quantitative Researcher jobs near you
Infographic showing various Remote Quantitative Researcher job openings in Toronto, ON as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Applied Mathematician - Fully Remote | Upto $77/hr

Mercor

Toronto, ON • Remote

CA$77/hr

Full-time

Posted 3 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Applied Mathematics Benchmark Specialist
Type: Contract
Compensation: $61–$77/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

  • Author original math questions that test deep conceptual understanding in Signal Processing, Financial Mathematics, and other domains.
  • Ensure questions are unambiguous, self-contained, and precisely defined with all necessary information.
  • Rate each question's difficulty as Medium, Hard, or Expert, providing 1 correct answer and 9 plausible alternatives.
  • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format.
  • Supply 1–5 academic references per question from reputable sources like peer-reviewed journals.
  • For verification tasks, flag issues with clarity, completeness, precision, or solvability and justify any edits made.

Qualifications

Must-Have

  • PhD or doctoral candidate in Mathematics, Applied Mathematics, Statistics, or a closely related field.
  • Master's degree considered for candidates with exceptional depth in a specific subdomain.
  • Strong command of graduate-level mathematical concepts and formal proof writing.
  • Excellent written English and ability to express complex ideas clearly and concisely.

Preferred

  • Experience with rigorous academic problem design or mathematical competition writing is a strong plus.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.