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Algorithmic Jobs in Ontario (NOW HIRING)

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and ...

Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration * Prioritize and lead deep dives into ...

Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm's ML HW/SW offerings Key Responsibilities: * Contributing to the development and evolution of ML/AI compilers

As a pivotal member of Nokia's DSP Algorithm Team, you will spearhead the development of advanced Coherent DSP and algorithms and implementation, driving fiber optic communication systems beyond 800 ...

As a pivotal member of Nokia's DSP Algorithm Team, you will spearhead the development of advanced Coherent DSP and algorithms and implementation, driving fiber optic communication systems beyond 800 ...

As a pivotal member of Nokia's DSP Algorithm Team, you will spearhead the development of advanced Coherent DSP and algorithms and implementation, driving fiber optic communication systems beyond 800 ...

Posted today

FPGA Compiler (Placer) Engineer

Toronto, ON · On-site

CA$129.10 - CA$187/hr

Placement Algorithm Development: Design, implement, and enhance FPGA placement algorithms to optimize timing, congestion, and resource utilization. * Compiler Flow Enhancement: Contribute to the end ...

Manage machine learning algorithm lifecycle. * Coordinate data collection and annotation efforts. * Work with real-time data and content coming from various data sources. * Manage machine learning ...

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Showing results 1-20

Algorithmic information

See Ontario salary details

$80K

$155.8K

$360.5K

How much do algorithmic jobs pay per year?

As of Sep 11, 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 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 Ontario?

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

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, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $155,802 per year, or $74.9 per hour.

DeFi Algorithmic Trader

London, ON

Wintermute
1 - 10 employees

Full-time

Re-posted 9 days ago


Job description

About Wintermute

Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects.


Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here.

Working in the DeFi Team

We're looking for a motivated and curious individual to join our DeFi team full-time. In this role, you'll research on-chain protocols and run data-driven experiments to help advance our understanding of decentralized finance. Our trading approach is deeply rooted in technology - our traders are analytical, programmatic problem solvers who thrive on innovation. In keeping with the builder ethos of the DeFi space, this role will give you the opportunity to wear many hats. You'll likely work across multiple codebases and languages, exploring the frontiers of the ecosystem's design space.


We are a tight-knit, collaborative team that values open dialogue and creative exploration. You'll work closely with experienced traders and developers, receiving mentorship while being encouraged to form your own perspectives, challenge ideas, and pursue new areas of inquiry together.

Requirements:
  • Proficiency in programming with at least one of Rust or Python.
  • Comfortable working on Linux environments and Git version control.
  • Experience with programmatic statistical analysis and quantitative / analytic skills.
  • High level understanding of high-frequency strategies.
  • Understanding of blockchain fundamentals and mechanics of the EVM.
  • Familiarity with smart contract development and the Foundry toolkit.
  • A passion for learning about protocol microstructure and design mechanisms.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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