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Algorithmic Jobs in Toronto, ON (NOW HIRING)

DV Trading

Software Developer (Toronto)

Toronto, ON

We are seeking a highly motivated, quick-learning developer for our algorithmic software development team. In this role, you will be involved in the development of our cutting-edge, low-latency ...

DV Trading

Software Developer (Toronto)

Toronto, ON

We are seeking a highly motivated, quick-learning developer for our algorithmic software development team. In this role, you will be involved in the development of our cutting-edge, low-latency ...

Amazon

Applied Scientist III, RBKS AI

Toronto, ON · On-site

This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in ...

Cmcmarkets

Quantitative Trader

Toronto, ON

As a Quantitative Trader, you'll play a key role in managing market risk and supporting algorithmic trading on a fast-paced dealing desk. This is a dynamic position ideal for someone with front ...

Chubb

Senior Data Scientist

Toronto, ON · On-site

Utilize an extensive understanding of AI and machine learning to develop predictive models and algorithmic solutions. Build analytical solutions for complex P&C claims operations. * Collaborate with ...

Waabi

Research Engineer, Sensor Signal Processing

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors ...

HelloFresh

Senior Data Scientist, Growth

Toronto, ON

Proven experience tackling complex marketing data problems, such as algorithmic budget pacing, LTV prediction pipelines, or AI-driven media optimization systems. * Strong foundation in statistical ...

Royal Bank of Canada

Research Engineer II

Toronto, ON · On-site

Conducting comparisons to existing algorithms and baselines; * Reviewing, extending, and optimizing prototype solutions; * Collaborating with the engineering team to integrate algorithms into ...

Apertera

Generative AI Engineer

Toronto, ON · On-site

You will report to the team lead in AI Innovation, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our ...

Quincus

Machine Learning Engineer

Toronto, ON

We are looking for a highly motivated and experienced machine learning engineer to join our team and help us develop and deploy deep learning and reinforcement learning algorithms at scale. As a ...

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All JobsAlgorithmic JobsAlgorithmic Jobs in Toronto, ON

Algorithmic information

See Toronto, ON salary details

$76.3K

$148.7K

$344K

How much do algorithmic jobs pay per year?

As of Jul 21, 2026, the average yearly pay for algorithmic in Toronto, ON is $148,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,886.00 and $154,125.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientist, software engineer, machine learning engineer, and quantitative analyst, where designing, implementing, and optimizing algorithms is essential. These positions often require programming skills in languages like Python or C++ and knowledge of data structures and mathematical concepts. They are common in technology, finance, healthcare, and research environments.

How to get into algotrading?

To get into algorithmic trading, develop strong programming skills in languages like Python or C++, learn quantitative finance and trading strategies, and gain experience with trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and internships or entry-level roles can provide practical experience in the field.

What are algorithmic jobs?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What is the most in demand programming job?

Algorithmic roles, such as algorithm engineers and data scientists, are highly in demand due to their importance in fields like finance, tech, and AI. These jobs typically require strong programming skills in languages like Python, C++, or Java, and expertise in data structures, algorithms, and machine learning tools.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

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 in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What are some jobs that can be automated?

Algorithmic roles often involve tasks such as data analysis, process monitoring, and repetitive decision-making, which can be automated using software tools, machine learning models, and scripting. Jobs in manufacturing, customer service, and administrative support are also increasingly automated through robotics, chatbots, and workflow automation platforms. These technologies reduce manual effort and improve efficiency but require skills in programming, data management, and system integration.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

What job categories do people searching Algorithmic jobs in Toronto, ON look for? The top searched job categories for Algorithmic jobs in Toronto, ON are:
Algorithmic jobs near you
Infographic showing various Algorithmic job openings in Toronto, ON as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $148,688 per year, or $71.5 per hour.
Sessional Lecturer - CSC478H5F LEC101 (emerg posting)

Sessional Lecturer - CSC478H5F LEC101 (emerg posting)

University of Toronto

Mississauga, ON

CA$14K/mo

Other

Posted 6 days ago

Job description

Date Posted: 07/15/2026
Req ID: 49421
Faculty/Division: UofT Mississauga
Department: UTM: Math/Comp. Sciences
Campus: University of Toronto Mississauga (UTM)
Existing Vacancy: Yes

Description:

Course Number and Title:  CSC478H5F LEC101 Robotic Perception

Course Description: This course focuses on perception algorithms for robotics applications and sensors. The aim is to provide an understanding of the challenges encountered when deploying perception algorithms on a robot and introduce some of the tools and algorithms typically used to address these challenges. The algorithms will also be implemented and evaluated using real-world data from common use-cases.

Course Enrolment (Estimated): 60

Number of Positions:              1

TA Support: 54 hrs per 30 students enrolled per semester

Sessional Dates of Appointment:  September 1, 2026 - December 31, 2026

Salary: Rate of pay for Sessional Lecturer is as follows: Sessional Lecturer I = $14,381; Sessional Lecturer I - Long Term = $16,080; Sessional Lecturer II = $16,080.

Class Schedule (in person): Lecture Thursday 9:00 - 11:00; Practical Thursday 13:00 - 14:00, 14:00 - 15:00

Minimum Qualifications: Completion of a graduate degree in Computer Science or education.  Advanced comprehension of the subject matter as evidenced by research activity, industry experience, or teaching experience. Strong organizational, interpersonal, and communication skills.

Preferred Qualifications: Demonstrated evidence of excellence in teaching preferred.  Preference will be given to candidates with demonstrable currency and mastery.

Description of Duties: Responsible for all aspects of delivering a university credit course including:  developing and delivering lectures; preparing tutorials, assignments, tests, and marking schemes; maintaining a course website; providing appropriate contact time outside of class to students through office hours, emails, the course website, and/or the course discussion board; writing the TA contract(s) for the course and supervising the TAs; managing the grading for the course, which is largely done by TAs; doing any grading not handled by TAs;  invigilating the final exam; managing the grades and submitting the final course grades; dealing with student petitions; and setting and grading a make-up exam if required.  While there is a lot of room for creativity in course delivery, instructors will be expected to follow the basic content and style used by the faculty members who normally teach the course.

How to apply: If interested, please reply to: jobsmcs.utm@utoronto.ca with the following information: 1) CUPE 3902 (Unit 3) Employment Application Form: https://uoft.me/CUPE- 3902-Unit-3-Application-Form; 2) your current CV.

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position

Closing Date: 07/30/2026, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

 It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

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