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Quant Python Remote Jobs in Toronto, ON (NOW HIRING)

Data Scientist - AI Evaluation

Toronto, ON ยท 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 ...

Proficiency in Python and associated data science technologies * Experience with data visualization ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Product Data Analyst

Toronto, ON ยท Remote

$145K - $175K/yr

Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ... Degree in a quantitative field * Hex, dbt, and Bigquery experience * Prior growth-stage consumer ...

Real Estate Valuation Consultant

Toronto, ON ยท On-site +1

CA$50K - CA$80K/yr

Includes presenting sets of primarily quantitative raw data in a schematic form. The visuals used ... R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI, Snowflake)

Expert Python programming skills including inheritance, reflection, meta-programming, and advanced ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

Staff Machine Learning Engineer

Toronto, ON ยท Remote

$212K - $301K/yr

High proficiency in Python and strong command of modern ML/NLP frameworks. * Demonstrated ability ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Benefits ...

Quant Python Remote information

What is a Quant Python Remote?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

What are the key skills and qualifications needed to thrive as a Quant Python Remote professional?

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.

What is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

What are popular job titles related to Quant Python Remote jobs in Toronto, ON?

For Quant Python Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Quant Python Remote jobs in Toronto, ON look for?

The top searched job categories for Quant Python Remote jobs in Toronto, ON are:

Infographic showing various Quant Python Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Data Science Expert - Fully Remote | Upto $150/hr

Mercor

Toronto, ON โ€ข Remote

CA$150/hr

Full-time

Posted 10 days ago


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: Data Scientist Talent Network
Type: Contract
Compensation: $100–$150/hour
Location: Remote

Role Responsibilities

  • Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.
  • Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
  • Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
  • Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
  • Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • 1+ years of professional data science experience.
  • Experience at a leading technology, research, or quantitative firm.
  • Strong command of Python, SQL, statistical modeling, machine learning, and experimentation.
  • Exceptional written communication skills.
  • Detail-oriented and consistent approach to evaluating complex work.
  • Comfort receiving feedback and calibrating judgment against established standards.

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.