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

We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ... Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science ...

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 · 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 · 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)

Intern Data

Toronto, ON · On-site +1

CA$29 - CA$40/hr

You are currently a full-time student in a technical or quantitative discipline - Computer Science ... Experience with programming languages Python, Java, C++ * Experience using data and machine ...

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. Notice to ...

Quant Python Remote information

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

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 is a Quant Python Remote job?

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 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 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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Principal Product Manager - Ads Auction and Measurements (Remote - Canada)

Yelp, Inc

Toronto, ON • Remote

Full-time

Posted 2 days ago

New


Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

137th of 246 rated software companies


Job description

Yelp connects people with great local businesses. Our platform is powered by a vibrant community contributing reviews and engaging with local businesses daily. We monetize primarily through advertising, helping millions of businesses connect with high-intent consumers. The Ads Auction system sits at the heart of this exchange, determining which ads are shown for every opportunity.

The Ads Marketplace team is responsible for the core engine that drives Yelp's advertising business. We develop and optimize the sophisticated auction, bidding, and pacing systems that balance advertiser value (ROI), consumer experience, and Yelp's monetization goals. We work at the intersection of economics, machine learning, and large-scale systems engineering.

As the Principal Product Manager for Ads Auction and Measurement, you will own the product strategy and execution for Yelp's core ad auction, bidding, pricing, budget pacing mechanisms, and corresponding measurements. This is a highly technical leadership role where you will guide the evolution of algorithms and systems that make real-time decisions maximizing value across multiple stakeholders. You will define how we measure the performance and impact of these complex systems, focusing on both short-term efficiency and long-term impact. You will partner closely with world-class engineering and applied science teams to design, experiment, implement, and iterate on auction dynamics and the metrics that guide our progress.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Auction Strategy & Roadmap: Define and drive the product roadmap for Yelp's ads auction, bidding algorithms, pricing mechanisms, and budget pacing systems, ensuring alignment with business objectives and competitive dynamics. Identify key levers for optimization and innovation.
  • Algorithm & System Optimization: Partner deeply with Engineering and Data Science to design, develop, and refine the auction-based ad selection system. Translate advertiser goals (ROI, leads, conversions), user experience, and monetization considerations into algorithmic requirements, and prioritize initiatives based on concrete data and expected impact.
  • Auction Measurement & Evaluation: Define and own the key metrics framework for evaluating auction health, efficiency, and the business impact. Drive the development of robust measurement for complex trade-offs (e.g., relevance vs. monetization, short-term vs. long-term effects). Design and interpret large-scale A/B tests.
  • Independent Data Analysis: Conduct hands-on analysis of large-scale auction and advertising datasets using tools like SQL and Python to uncover optimization opportunities, validate hypotheses, understand performance drivers, and inform product decisions.
  • Technical Product Development: Lead the end-to-end product lifecycle for auction-related features and improvements, from ideation and requirements definition through launch and iteration.
  • Cross-Functional Leadership: Serve as the product leader for the auction domain, collaborating effectively with Engineering, Data Science, Sales, Finance, and other Product teams. Communicate complex technical concepts and trade-offs clearly to diverse audiences.
  • Drive Business Impact: Directly influence Yelp's revenue and advertiser success by improving the efficiency and effectiveness of the core ad marketplace.

  • Experience: 5+ years of technical product management experience, preferably focused on auctions, bidding systems, search ranking, or monetization platforms within the online advertising (AdTech) industry.
  • Auction & Optimization Expertise: Strong theoretical understanding and practical experience with auction theory (e.g., VCG, GSP), optimization algorithms, statistical modeling, and machine learning concepts relevant to ad targeting and ranking.
  • Advanced Analytical & Data Skills: Proven ability to independently query, manipulate, and analyze large, complex datasets. Proficiency with SQL and data analysis tools/languages (e.g., Python, R) is required.
  • Statistical Rigor: Deep understanding of applied statistics, experimental design (A/B testing), causal inference, and methods for measuring statistical significance and inferring long-term impact.
  • Educational Background: Strong quantitative background; Master's or PhD in Computer Science, Statistics, Economics, Operations Research, Mathematics, or a related field is highly preferred.
  • Technical Fluency: Ability to engage deeply with engineers and data scientists on technical details of algorithms, system design, and data infrastructure.
  • Communication & Collaboration: Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across various functions.
  • Problem Solving: Strong structured thinking and problem-solving abilities, capable of breaking down complex problems into actionable components.

  • The top end of the compensation range for this role exceeds $200,000 annually. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data and years of experience. The actual compensation offered may be influenced by a variety of factors, including the candidate’s experience and skill set. You may also be offered restricted stock units and benefits.
  • This opportunity has the option to be fully remote in all locations across Canada.
  • This role is posted to fill an existing position.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.

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