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Algorithmic Jobs in Ontario (NOW HIRING)

Deliver value through algorithm/model driven insight from data: * Working knowledge of algorithm types and their applications (classification, regression, clustering, etc.) * Familiarity with ...

Geophysicist Work Location: Waterloo, ON About Canadian Strategic Missions Corp. (CSMC) Canadian Strategic Missions Corporation is building the capabilities that will shape Canada's future in space ...

Collaborate on the development of a joint gravity inversion algorithm, ideally incorporating AI/ML techniques, to integrate and interpret multi-sensor data for subsurface modeling. * Clean, process ...

Data Scientist

Cambridge, ON · Hybrid

CA$64K - CA$114K/yr

Deliver value through algorithm/model driven insight from data: * Working knowledge of algorithm types and their applications (classification, regression, clustering, etc.) * Familiarity with ...

To learn more about CIBC, please visit CIBC.com What you'll be doing CIBC's Electronic Trading Group is a leader in electronic execution, delivering algorithmic equity trading solutions, direct ...

New

To learn more about CIBC, please visit CIBC.com What you'll be doing CIBC's Electronic Trading Group is a leader in electronic execution, delivering algorithmic equity trading solutions, direct ...

Understanding of digital signal processing principles or PID control algorithms. * Knowledge of Petalinux and its build environment. * Work closely with hardware/FPGA engineers to understand HW ...

Showing results 21-40

Algorithmic information

See Ontario salary details

$80K

$155.8K

$360.5K

How much do algorithmic jobs pay per year?

As of Aug 12, 2026, the average yearly pay for algorithmic in Ontario is $155,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $161,500.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientists, software engineers, machine learning engineers, and quantitative analysts. 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 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 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?

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 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 Ontario look for? The top searched job categories for Algorithmic jobs in Ontario are:
What cities in Ontario are hiring for Algorithmic jobs? Cities in Ontario with the most Algorithmic job openings:
Infographic showing various Algorithmic job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $155,802 per year, or $74.9 per hour.

Blockchain Engineer - Protocol & Infrastructure

Inner Circle Agency Inc.

Toronto, ON • On-site, Remote

Full-time

Re-posted 14 days ago


Job description

Blockchain Engineer - Protocol & Infrastructure

Location: Remote / Hybrid / On-site

About the Role:
We are seeking a Blockchain Engineer to design and implement the core infrastructure for next-generation blockchain networks. This role involves deep protocol development, cryptographic security, and decentralized system architecture.

Responsibilities:

  • Develop Layer 1 and Layer 2 blockchain infrastructure.

  • Improve consensus mechanisms and network scalability.

  • Implement cryptographic algorithms and security enhancements.

  • Work with cross-functional teams to drive blockchain adoption.

Requirements:

  • Proficiency in Rust, Go, or C++.

  • Deep understanding of consensus algorithms (PoS, PoW, DAGs, etc.).

  • Experience with cryptographic techniques (zero-knowledge proofs, elliptic curve cryptography).

  • Previous experience with blockchain frameworks (Substrate, Cosmos SDK, Tendermint).