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Algorithmic Trading Jobs in Ontario (NOW HIRING)

Jay Analytix

UI React Developer (QTS)

Toronto, ON · On-site

Working closely with Capital Markets trading teams, you will help define project requirements ... Solid working knowledge of design patterns, data structures, algorithms, threading and concurrency ...

Jay Analytix

UI React Developer (QTS)

Toronto, ON · Hybrid

Working closely with Capital Markets trading teams, you will help define project requirements ... Solid working knowledge of design patterns, data structures, algorithms, threading and concurrency ...

Mission Control

Senior Systems Engineer

Ottawa, ON · On-site

Lead trade studies balancing performance, cost, risk, and schedule * Lead the definition ... Oversee the integration of visual navigation sensors (e.g., cameras, LIDAR), and GN&C algorithms ...

Build It

Construction Estimator

Mississauga, ON · On-site

Maintain Master Tender List and ensure up-to-date trade information, along with consistently in ... Our organization may use automated tools, including artificial intelligence (AI) or algorithm ...

Build It

Construction Estimator

Mississauga, ON · On-site

Maintain Master Tender List and ensure up-to-date trade information, along with consistently in ... Our organization may use automated tools, including artificial intelligence (AI) or algorithm ...

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Showing results 41-60

All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Ontario

Algorithmic Trading information

See Ontario salary details

$36.5K

$137.7K

$185K

How much do algorithmic trading jobs pay per year?

As of Aug 8, 2026, the average yearly pay for algorithmic trading in Ontario is $137,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $155,500.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative 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-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
More about Algorithmic Trading jobs
What are the most commonly searched types of Algorithmic Trading jobs in Ontario? The most popular types of Algorithmic Trading jobs in Ontario are:
What are popular job titles related to Algorithmic Trading jobs in Ontario? For Algorithmic Trading jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Ontario look for? The top searched job categories for Algorithmic Trading jobs in Ontario are:
What cities in Ontario are hiring for Algorithmic Trading jobs? Cities in Ontario with the most Algorithmic Trading job openings:
Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,701 per year, or $66.2 per hour.

UI React Developer (QTS)

Jay Analytix

Toronto, ON • On-site

Full-time

Posted 25 days ago

Job description

UI React Developer (Redux)

Job Type: Contract

Duration: 1+ Year Long Term

Location: Toronto, Ontario (Hybrid 3 days in office)

Experience: 7+ Years

Only candidates with work authorization in Canada may apply.

What Is the Opportunity?

We are seeking a UI React Developer with strong Redux experience to join the Quantitative and Technology Services (QTS) team, developing, improving, and supporting strategic applications within the RAMPP (Risk, Analytics, Modelling, Pricing & Processing) organization. You will work with best-in-class front-end technologies to build applications that consume large quantities of data and present key metrics and statistics to Capital Markets business clients.

You will tackle complex problems and deliver robust, efficient, and strategic UI solutions with lasting impact on the RAMPP organization and Capital Markets businesses. Working closely with Capital Markets trading teams, you will help define project requirements, coordinate testing efforts, and provide implementation support. Excellent communication, organizational, and leadership skills are essential.

What Will You Do?
  • Code, test, debug, implement, and support real-time risk and PnL applications using React and Redux, serving a wide range of business units within the Capital Markets space
  • Design and build responsive, data-intensive user interfaces, including real-time intraday reporting and real-time visualizations
  • Manage complex application state using Redux, Redux-Observable, and RxJS to handle high-volume, real-time data streams
  • Analyze, debug, and resolve production issues related to data flows, application performance, system latency, and infrastructure/network outages
  • Collaborate with Capital Markets Trading and Quant teams through all stages of the software development lifecycle, eliciting and implementing business requirements and owning projects from inception to completion
  • Proactively identify operational risks, control deficiencies, and opportunities for automation to increase productivity and enhance user experiences
  • Demonstrate project implementations to key stakeholders, including senior management, executives, and wider QTS technology teams
  • Contribute to the internal UI sharing economy and the broader UI development community, supporting the overall vision of QTS' UI/UX strategy
What Do You Need to Succeed?Must Have
  • Bachelor's or Master's degree, preferably in Computer Science or a related field
  • Strong hands-on experience with React 16+ and Redux in production environments
  • Experience with RxJS 6+ and reactive/functional programming patterns
  • Solid working knowledge of design patterns, data structures, algorithms, threading and concurrency, ES2020+, and front-end best practices
  • Experience building robust, scalable, test-driven front-end platforms utilizing modern HTML5 APIs and PWA techniques and technologies such as Web Workers, Service Workers, CacheStorage, IndexedDB, ES6 Proxies, and Sockets
Nice to Have
  • Experience working in the financial industry, ideally Capital Markets
  • Working knowledge of TypeScript 4+
  • Experience with Redux-Observable (Observables), Redux Toolkit, and state management at scale
  • Aptitude for UI design and building strong user experiences; experience with design tools is a bonus
  • Demonstrable knowledge of Cypress/Playwright and/or Jest for building robustly tested, test-driven products
  • Familiarity with DevOps tooling such as JIRA, Jenkins, Docker, and Kubernetes, including JavaScript build tools/pipelines such as Vite, Bun, Babel, Webpack 5, Rollup, and ESBuild
  • Working knowledge of functional architectures and related tools such as Lodash/fp and Ramda
  • Knowledge of OpenFin and Electron-based architectures
  • Experience with server-side development in Node.js, Java 11, or Python
  • Working knowledge of SQL and Solace
  • Familiarity with additional front-end frameworks, tools, and paradigms such as D3, GraphQL, MobX, React Query, and AG-Grid
  • Experience with Agile, Scrum, and Kanban methodologies
  • Quick learner with the aptitude to pick up new technologies and business knowledge
  • Highly motivated, able to work independently and effectively, with a collaborative attitude