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Math Engineering Jobs in Ontario (NOW HIRING)

Bullish

Senior Engineer, Risk Engineering

London, ON · On-site

Strong mathematical, analytical, and problem-solving skills. * Educational Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field. Nice To Haves * Familiarity ...

Td

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/yr

Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field * 3+ years of developer experience shipping code in production settings * Strong background in ...

Magna

Designer (Design Engineering)

Newmarket, ON · On-site

CA$60K - CA$90K/yr

Able to apply academic and other engineering principles in the development of automotive components and utilize math-based tools (e.g. Dimensional management, Kinematics, etc.) Awareness, Unity ...

Scotiabank

Senior, Cloud Engineering

Toronto, ON · Remote

Bachelor's degree or higher in computer science, engineering, mathematics, or a related discipline What's in it for you? * Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field * 3+ years of developer experience shipping code in production settings * Strong background in ...

Sun Life Financial

Senior Data Engineer I

King, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as ...

Sun Life Financial

Senior Data Engineer I

Waterloo, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as ...

Sun Life Financial

Senior Data Engineer I

Waterloo, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as ...

Sun Life Financial

Senior Data Engineer I

Toronto, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as ...

Sun Life Financial

Senior Data Engineer I

King, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as ...

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field * Minimum three years of experience delivering major data science projects in large, complex ...

Royal Bank of Canada

Lead Data Engineer

Toronto, ON · Hybrid

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline * 3+ years of experience as a Data Engineer or similar role * Advanced proficiency in ...

Sun Life Financial

Senior Data Engineer I

Toronto, ON · On-site

Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent * This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as ...

Magna

Mechatronics Engineering Co-op

Newmarket, ON · On-site

CA$21.08 - CA$25.46/hr

Analyzes products and formulates engineering conclusions by the application of engineering and/or mathematical principles and tools * With guidance from engineering management or senior engineering ...

Magna

Project Engineering Co-op

Newmarket, ON

CA$21.08 - CA$25.46/hr

Analyzes products and formulates engineering conclusions by the application of engineering and/or mathematical principles and tools * With guidance from engineering management is able to Analyze QFD ...

Magna

Project Engineering Co-op

Newmarket, ON · On-site

CA$21.08 - CA$25.46/hr

Analyzes products and formulates engineering conclusions by the application of engineering and/or mathematical principles and tools * With guidance from engineering management is able to Analyze QFD ...

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Showing results 41-60

All JobsMath Engineering JobsMath Engineering Jobs in Ontario

Math Engineering information

See Ontario salary details

$10

$30

$71

How much do math engineering jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for math engineering in Ontario is $30.38, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a math engineer?

To thrive as a Math Engineer, you need a strong background in applied mathematics, computational methods, and a relevant engineering discipline, usually supported by a degree in mathematics, engineering, or a related field. Proficiency in programming languages (such as MATLAB, Python, or C++), mathematical modeling software, and familiarity with simulation tools are typically required. Analytical thinking, problem-solving abilities, and effective communication skills are essential soft skills to excel in this role. These skills and qualities are crucial for accurately modeling complex systems, developing innovative solutions, and effectively collaborating with multidisciplinary teams.

What is the difference between Math Engineering vs Data Scientist?

AspectMath EngineeringData Scientist
Required CredentialsMathematics, Engineering, Computer Science degreesStatistics, Computer Science, Mathematics degrees
Work EnvironmentResearch labs, R&D departments, technical teamsBusiness settings, analytics teams, tech companies
Employer & Industry UsageTech firms, engineering companies, financeTech, finance, healthcare, marketing
Common Search & ComparisonMath Engineering vs Data Scientist

Math Engineering focuses on applying advanced mathematical techniques to develop engineering solutions, often in R&D or technical roles. Data Scientists analyze large datasets to extract insights, primarily supporting business decisions. While both roles require strong math skills, Math Engineering emphasizes engineering applications, whereas Data Science centers on data analysis and modeling.

What does a math engineer do?

A math engineer applies mathematical principles and techniques to solve complex problems in engineering, technology, and scientific fields. They develop models, algorithms, and simulations, often using programming tools like MATLAB or Python, to optimize systems and processes. Their work supports innovation in areas such as data analysis, machine learning, and product design.

How does a math engineer typically collaborate with software developers and data scientists on interdisciplinary projects?

Math Engineers often work closely with software developers and data scientists to design and implement mathematical models and algorithms. Collaboration involves translating complex mathematical concepts into practical computational solutions, validating results, and optimizing performance. Regular meetings, code reviews, and shared documentation help ensure alignment across teams, and strong communication skills are essential for explaining technical details to non-specialists. This interdisciplinary teamwork is common in industries like finance, technology, and engineering, leading to innovative solutions and continuous learning opportunities.

What is math engineering?

Math engineering is a multidisciplinary field that applies advanced mathematical theories, techniques, and computational methods to solve engineering problems. Professionals in this area use mathematics to model, analyze, and optimize systems in industries such as technology, finance, aerospace, and manufacturing. Typical tasks include developing algorithms, performing simulations, and interpreting complex data to improve processes or products. Math engineers often work closely with other engineers and scientists to design efficient solutions to real-world challenges.

What are popular job titles related to Math Engineering jobs in Ontario?

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

What job categories do people searching Math Engineering jobs in Ontario look for?

The top searched job categories for Math Engineering jobs in Ontario are:

Math Engineering jobs near you
Infographic showing various Math Engineering job openings in Ontario as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $63,197 per year, or $30.4 per hour.

Senior Engineer, Risk Engineering

Bullish

London, ON • On-site

Full-time

Posted 25 days ago

Job description

About BullishBullish is an institutionally focused global digital asset platform that provides market infrastructure and information services. These include:BullishExchange- a regulated and institutionally focused digital assets spot and derivatives exchange, integrating a high-performance central limit order book matching engine with automated market making to provide deep and predictable liquidity. Bullish Exchange is regulated in Germany, Hong Kong, and Gibraltar.CoinDeskIndices- a collection of tradable proprietary and single-asset benchmarks and indices that track the performance of digital assets for global institutions in the digital assets and traditional finance industries.CoinDeskData- a broad suite of digital assets market data and analytics, providing real-time insights into prices, trends, and market dynamics.CoinDeskInsights- a digital asset media and events provider and operator ofCoindesk.com, a digital media platform that covers news and insights about digital assets, the underlying markets, policy, and blockchain technology.

Reports to:

Director, Engineering

Engineering Organization & Culture

At Bullish, we are engineering the institutional standard for the digital asset industry. Our mission is to build a platform where security and compliance are the foundational core, requiring a commitment to technical excellence that goes beyond simply delivering code. We operate as a global engineering organization, setting a high bar in a demanding environment for those driven to do the best work of their careers alongside world-class peers.

We value engineers who treat development as a craft and own the outcome from concept to deployment. You will be expected to navigate the unknown, bring structure to ambiguity, and help shape the frameworks and processes that drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges.

The Team: Risk Engineering

The Risk Engineering team builds the high-performance computational backbone that safeguards our exchange operations. Bridging quantitative finance and systems engineering, we optimize the mission-critical risk calculations that evaluate margin requirements, stress scenarios, and portfolio exposures in real-time, ensuring every trade is backed by solid financial guardrails. Our technical domain spans low-latency JVM optimization, zero-allocation hot paths and complex financial modeling.

What You'll Do

  • High-Performance JVM Engineering: Develop and maintain high-quality, scalable, and performant JVM services and APIs, with an eye toward low-latency and efficient memory management.

  • Technical Translation & Risk Modeling: Work closely with senior technical leadership to understand risk models and decompose complex business requirements into well-tested, robust implementations.

  • Cross-Functional Collaboration: Collaborate with quantitative analysts and product teams to implement reliable solutions for financial products and risk models.

  • Continuous Codebase Optimization: Actively optimize and refactor the existing codebase to enhance automated testing, performance, and maintainability.

  • Engineering Excellence: Write clean, well-documented code, participate actively in code reviews, and champion agile best practices within the team.


What You'll Bring

  • Professional Experience: 5+ years of professional experience as a Java backend engineer.

  • Mindset and Ownership: A strong sense of accountability and the agility to thrive and adapt in a dynamic startup environment.

  • Language Proficiency: Advanced proficiency in Java, with a solid understanding of multi-threading, concurrency, and JVM performance tuning.

  • Testing Methodologies: Strong hands-on experience with automated testing methodologies, including unit/integration testing, TDD, and exposure to simulation or stress testing.

  • Software Design Fundamentals: Well-versed in Agile methodologies, design patterns, DRY principles, Clean Code, and microservices architecture.

  • Technical Ecosystem: Proficient with modern DevOps and cloud tools, including Git, Docker, Kubernetes, and cloud platforms (GCP preferred).

  • Financial Domain Awareness: Good foundational understanding of financial products, risk management concepts, or risk methodologies (e.g., SPAN, VaR).

  • Analytical Aptitude: Strong mathematical, analytical, and problem-solving skills.

  • Educational Foundation: Bachelor's degree in Computer Science, Engineering, or a related technical field.


Nice To Haves

  • Familiarity with event-sourced architectures, columnar databases, Kotlin, or low-latency libraries like Chronicle Queue.

  • Interest or minor experience in mentoring junior peers and contributing to a collaborative engineering culture.

Bullish is proud to be an equal opportunity employer. We are fastevolving and striving towards being a globally-diverse community.With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.

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