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Math Engineering Jobs in Ontario (NOW HIRING)

As an engineer, you will enhance the experiences of your customers, solve interesting challenges ... Mathematical reasoning * Problem solving Personal Effectiveness * Accountability / Dependability

Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * A good understanding of statistical modelling ...

AI/ML Engineer

Mississauga, ON · Hybrid

CA$110K - CA$125K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field * 5+ years of professional experience in software engineering * 2+ years of experience with ...

New

AI/ML Engineer

Mississauga, ON · Hybrid

CA$110K - CA$125K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field * 5+ years of professional experience in software engineering * 2+ years of experience with ...

New

Assistant Professor, Mathematics * Assistant Professor, Statistics * Professor of Practice (Software Development) Specialisations: * Civil Engineering * Computer Science and Engineering * Electronics ...

Showing results 21-40

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:

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 Manager, Regulatory and Risk Advisory (Quant)

KPMG

Toronto, ON

Full-time

Re-posted 27 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference. 

Backed by deep industry knowledge, our team works with organizations to strengthen their governance and operating models, positioning them to effectively achieve their risk management goals. KPMG’s Regulatory and Risk Advisory (RRA) professionals help organizations by addressing complex challenges, creating, and protecting sustainable business value and transforming risk into a strategic advantage.

We are currently seeking a Senior Manager with a quantitative profile, specializing in credit risk modeling to join our Regulatory and Risk Advisory team within our Toronto office, The candidate will offer advisory services in credit risk modeling and validation and will be working on a wide variety of projects with banks, credit unions, insurers, and investment funds.


What you will do

You will work closely with the Partner responsible for the Regulatory and Risk Advisory practice on advisory projects and contribute to business development. The incumbent will:

  • Lead daily work on assignments related to credit modelling and risk management; develop credit models, perform validations, and participate in external/internal audit engagements related to IFRS 9 – ECL, credit modelling, or other quantitative engagements to meet the clients’ expectations.
  • Provide expertise in development or validation of models for a wide area of products such as retail (mortgages, revolving, other retail loans) and non-retail portfolios (corporate, commercial, real estate), for underwriting credit models, credit risk scorecards or risk ratings models.
  • Work on multiple assignments simultaneously, potentially involving several partners.
  • Prepare detailed reports presenting the execution approach, observations, and recommendations.
  • Coordinate the execution of various risk management projects to add value.
  • Review analyses and deliverables produced by the execution team to ensure their high quality.
  • Prepare service proposals to meet the business needs of clients.
  • Deliver presentations to clients, participate in client meetings, as well in business development.

What you bring to the role
  • 10 years of relevant experience in banking including work in credit model development or validation functions.
  • Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent.
  • Professional designation is an asset (FRM, CFA).
  • Experience with statistical and probabilistic credit risk modelling for risk rating and scorecard models for credit risk, ECL models for IFRS 9, and/or with stress testing models, and/or model validation experience for these models.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival models.
  • Proficiency in at least two of the following tools and languages: SAS, Python, R, VBA, SQL, C++, Java.
  • Well versed in model risk management activities.
  • Knowledge of the requirements of the final Basel III and regulatory capital including calculation of regulatory capital and IRB modelling an asset.
  • Proficiency in Bloomberg valuation and pricing models an asset.
  • Motivation to achieve high standards of customer service and professionalism.
  • Ability to deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 10 years of relevant experience in banking including work in credit model development or validation functions.
  • Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent.
  • Professional designation is an asset (FRM, CFA).
  • Experience with statistical and probabilistic credit risk modelling for risk rating and scorecard models for credit risk, ECL models for IFRS 9, and/or with stress testing models, and/or model validation experience for these models.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival models.
  • Proficiency in at least two of the following tools and languages: SAS, Python, R, VBA, SQL, C++, Java.
  • Well versed in model risk management activities.
  • Knowledge of the requirements of the final Basel III and regulatory capital including calculation of regulatory capital and IRB modelling an asset.
  • Proficiency in Bloomberg valuation and pricing models an asset.
  • Motivation to achieve high standards of customer service and professionalism.
  • Ability to deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME