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Algorithmic Jobs in Toronto, ON (NOW HIRING)

Scotiabank

Data Scientist - Toronto

Toronto, ON · On-site

Collaborate with stakeholders in identifying opportunities for leveraging data and use of ML algorithms to develop innovative solutions and solve complex business problems * Design, develop, and ...

Waabi

Senior / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/yr

You will... - Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This ...

Equinix

Senior Product Manager

Toronto, ON · Remote

Transform raw algorithmic outputs and data tables into structured, actionable, and real-time guidance streams for frontline systems Continuous Optimization * Monitor data quality, model drift ...

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Showing results 41-60

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 Sep 13, 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 is an algorithmic job?

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 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 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 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 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 jobs use algorithms?

Algorithmic jobs include roles such as data scientist, software engineer, machine learning engineer, and quantitative analyst. These positions involve designing, implementing, and optimizing algorithms to solve complex problems, often requiring programming skills in languages like Python, C++, or Java, and knowledge of data structures and mathematical concepts.

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

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

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, and 43% Remote job distribution, with an average salary of $148,688 per year, or $71.5 per hour.

Data Science Analyst - Audit AI & Analytics, Winter 2027 (Co-op/Internship) - 4 Months

Toronto, ON • On-site

Randstad Canada
See more jobs at Randstad Canadaexternal

CA$54K - CA$101K/yr

Full-time

Medical, Life, Retirement

Posted 5 days ago

Job description

Application Deadline:

09/19/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

The ideal candidate will have an education background in the areas of Computer Science, Mathematics, Commerce, or any other related majors.

The ideal candidate will possess the following skills or have related experience in the following areas:

General knowledge of programming languages in SQL/Python

Power BI experience

Data analytics, machine learning and AI, Large Language Models

Knowledge of products such as Copilot, Gemini, ChatGPT

Prompt experience to create solutions and automations

Passionate about applying automation and AI technologies to improve results

Proud of delivering end to end solutions

Can work independently, curious and results oriented

Strong project and time managment skills

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Focus may be on a business/group.
  • Thinks creatively and proposes new solutions.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works mostly independently.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Intermediate level of proficiency:

  • Commercial astuteness.
  • Technology Transformation.
  • Learning Agility.
  • Emotional Agility.
  • Change Management.
  • Systems thinking.
  • Design leadership and executive alignment.
  • Stakeholder management.
  • Value Realization (Architecting & Tracking).
  • Driving outcomes.

Advanced level of proficiency:

  • Continuous process improvement.
  • Building and managing relationships.
  • Agile Frameworks and Practices.
  • Purpose and strategy alignment.
  • Coaching and Mentoring.
  • Facilitation Skills.
  • Verbal & written communication skills.
  • Analytical and problem solving skills.
  • Influence skills.
  • Collaboration & team skills.
  • Data driven decision making.
  • Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary:

$54,600.00 - $101,400.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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