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Algorithmic Jobs in Toronto, ON (NOW HIRING)

Tests will range from basic subject line tests to more complex, algorithmic experiments Keep abreast of the latest developments in email, mobile and digital advertising trends, identifying ...

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

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 ...

Research Engineer, Calibration

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem ...

Develops ML algorithms to analyze huge volumes of historical data to make predictions. * Runs tests, performs statistical analysis, and interprets test results. * Operates at a group/enterprise-wide ...

Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production. Analyze large, complex datasets to extract insights and decide on ...

Design and optimize sophisticated positioning and pointing algorithms for both real-time and post-processing software suites. * Collaborate with elite product teams to define requirements and deliver ...

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Algorithmic information

See Toronto, ON salary details

$76.3K

$148.7K

$344K

How much do algorithmic jobs pay per year?

As of Jun 16, 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.

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 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.

How much do Algo traders earn?

Algorithmic traders typically earn a base salary ranging from $80,000 to $150,000 annually, with total compensation often including performance bonuses that can significantly increase earnings. Experienced traders with strong programming skills and a successful track record can earn over $200,000 per year. Compensation varies based on firm size, location, and individual performance.

How much do algorithmic quants make?

Algorithmic quants, or quantitative analysts specializing in algorithmic trading, typically earn between $100,000 and $200,000 annually at entry-level, with experienced professionals earning over $300,000 including bonuses. Compensation varies based on experience, firm size, location, and performance, and often includes bonuses tied to trading profits. Strong programming skills in languages like Python or C++ and a background in finance or mathematics are essential for these roles.

What careers use algorithms?

Algorithmic skills are essential in careers such as software development, data science, machine learning engineering, and quantitative analysis. These roles involve designing, analyzing, and implementing algorithms to solve complex problems, often requiring knowledge of programming languages like Python or C++ and understanding of data structures and computational complexity.

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 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:
Infographic showing various Algorithmic job openings in Toronto, ON as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $148,688 per year, or $71.5 per hour.

Audit Analytics and AI Analyst - Data Science, 6 Month Contract (New or Recent Graduate Opportuni...

Randstad Canada

Toronto, ON

CA$54K - CA$101K/yr

Full-time

Medical, Life, Retirement

Posted 11 days ago


Job description

Application Deadline:

06/18/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Data & Analytics

  • Data querying, extraction, and transformation (structured and semi-structured data)
  • Data analysis and insight generation to support audit activities
  • Data visualization and dashboard development for reporting and decision support
  • Alignment of data sources to audit risks and business use cases

AI & Automation

  • Prompt engineering and prompt library development for GenAI use cases
  • AI use case identification and intake (Audit AI & Analytics workflows)
  • Automation of audit processes using analytics and low-code tools (e.g., Power Platform)
  • Experience supporting GenAI-enabled audit solutions and self-serve tools

Audit & Risk Application

  • Applying analytics across audit lifecycle (planning, fieldwork, monitoring)
  • Identifying opportunities for continuous monitoring and risk detection
  • Supporting audit teams with analytics-driven insights
  • Understanding of audit methodology and integration of analytics into audit execution

Tools & Platforms

  • SharePoint (list management, metadata structuring, workflow support)
  • Data analytics and visualization tools (e.g., Power BI or equivalent)
  • Prompt libraries and AI enablement platforms (e.g., Copilot-integrated tools)
  • Excel and data manipulation tools

Product & Solution Development

  • UI/UX input for analytics and prompt library tools
  • Requirement gathering and translating business needs into technical solutions
  • Building and enhancing internal tools (e.g., prompt library interfaces, submission workflows)
  • Supporting backlog items and delivery pipelines for AI/analytics solutions

Collaboration & Communication

  • Working closely with audit teams, AI Champions, and stakeholders
  • Facilitating discussions on prompt usage and AI adoption
  • Translating technical outputs into business-friendly insights
  • Supporting training, demos, and knowledge sharing sessions

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.

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.