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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 ...

Financial modeling and analytical algorithms * Assess technical trade-offs across build vs. buy, model selection, infrastructure, cost, latency, and risk. * Partner with platform, security, and data ...

Senior Full Stack Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

This role will work closely with Trading, Operations, Compliance, Data, and Technology teams to ... algorithms is an asset. Technical Environment * Backend: C#, .NET / .NET Core, Python, Azure ...

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 ...

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 ...

Showing results 21-40

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.

Associate Director - Lead KDB+ Developer

Royal Bank of Canada

Toronto, ON

Full-time

Posted 19 days ago


Job description

Job Description

What is the opportunity?

This is a Associate Director - Lead developer role on the Market Data Intelligence (MDI) platform, supporting global cross-asset market data analytics at RBC Capital Markets. The role involves designing, developing, testing, and maintaining mission-critical software while collaborating with teams and coaching colleagues. You will participate in the technical design, development, and implementation of market data Intelligence (MDI) platform which is used for global cross asset market data analytics

What will you do?

  • Work with business Stakeholders to build new and maintain existing real-time and historical data services and statistical functions on top of the data.
  • Develop an in depth understanding of existing analytical libraries and help to broaden current offering.
  • Add new features and enhance existing functionality to KDB+/q framework for server and client side applications used by capital markets.
  • Collaborate with team members to determine best practices and client requirements for software
  • Develop intuitive software that meets and exceeds the needs of the company
  • Professionally maintain all software and create updates regularly to address customer and company concerns
  • Analyze and test programs and products before formal launch
  • Troubleshoot coding problems quickly and efficiently to ensure a productive workplace
  • Actively seek ways to improve business software processes and interactions
  • Aid and support the coaching and training of other team members to ensure all employees are confident in the use of software applications

What do you need to succeed?

Must-have:

  • 7+ years Industry experience building mission critical software applications
  • 2+ years of strong hands on experience with KDB+/q
  • Experience performing analytics on very large data sets, typically time series market and transaction data
  • Good understanding of Capital Market products including Reference and Transaction data
  • Experience with any market data products specifically NYSE TAQ, TRTH, Bloomberg, Exegy etc.
  • Good working knowledge of Linux environments, and scripting languages such as Bash, Python
  • Experience with Agile methodology and tools such as Git, Jenkins, Nexus, Jira, and Docker
  • Good communication skills and be able to work in a fast-paced environment
  • Understanding of different trading products like equities, etc.

Nice-to-have:

  • Experience with database applications and working knowledge of SQL
  • Experience with any AI coding tools like Copilot, Claude, windsurfetc.
  • Working knowledge of C++/Java is a plus
  • Understanding of global markets and algorithmic trading stack
  • Knowledge of Pre and Post trade analytics, machine learning and pattern recognition is advantageous
  • Understanding of build and deployment management

What is in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation

  • Leaders who support your development through coaching and managing opportunities

  • Opportunities to work with the best in the field

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

#Ll-POST

#TECHPJ

Job Skills

Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-30

Application Deadline:

2026-08-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME