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Algorithmic Trader Jobs in Toronto, ON (NOW HIRING)

Come and see why Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally. ABOUT THE ROLE Our team is responsible for developing algorithms that run in ...

The core focus for the position will be on implementing software used in portfolio optimization, Monte Carlo simulations, trading algorithms, financial health scores, and probability assessment ...

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Algorithmic Trader information

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

How do you become an algorithmic trader?

To become an algorithmic trader, you typically need a strong background in mathematics, programming, and finance, often holding a degree in a related field such as computer science, engineering, or finance. Developing skills in programming languages like Python or C++, understanding trading strategies, and gaining experience with trading platforms and data analysis are essential steps. Many algorithmic traders also pursue certifications or advanced degrees to enhance their knowledge and credibility.

What does an algorithmic trader do?

An algorithmic trader develops and implements automated trading strategies using computer algorithms to execute trades at high speed and volume. They analyze market data, optimize algorithms, and monitor trading systems, often using programming languages like Python or C++ and trading platforms. The role requires strong quantitative skills and understanding of financial markets.

What are the most commonly searched types of Algorithmic Trader jobs in Toronto, ON?

The most popular types of Algorithmic Trader jobs in Toronto, ON are:

What are popular job titles related to Algorithmic Trader jobs in Toronto, ON?

For Algorithmic Trader jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trader jobs in Toronto, ON look for?

The top searched job categories for Algorithmic Trader jobs in Toronto, ON are:

Infographic showing various Algorithmic Trader job openings in Toronto, ON as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

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

Toronto, ON • Remote

Yelp, Inc
Internet and IT • 1 - 5K employees

Full-time

Re-posted 19 days ago


Yelp rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


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: 8+ 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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