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Mathematical Modeling Jobs in British Columbia (NOW HIRING)

Z1 Tech

Quantitative Trade

Vancouver, BC · On-site

The ideal candidate will possess strong research skills, a solid understanding of investment strategies, and expertise in risk analysis and mathematical modeling within the financial services sector.

Lifeworks

Associate Partner, Actuarial

Vancouver, BC

CA$160K - CA$210K/yr

With a deep understanding of complex mathematical models and statistical analysis, our team excels in assessing and quantifying risks in the retirement landscape. Our Defined Benefits and Actuarial ...

Lifeworks

Senior Actuarial Consultant

Vancouver, BC · On-site +1

With a deep understanding of complex mathematical models and statistical analysis, our team excels in assessing and quantifying risks in the retirement landscape. Our Defined Benefit Consulting team ...

Vancity

Machine Learning Engineer Lead

Vancouver, BC · Remote

You will work across the full ML lifecycle, including model development, feature engineering, MLOps ... Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics ...

Vancity

Senior Machine Learning Engineer

Vancouver, BC · Remote

You will work across the full ML lifecycle, including model development, feature engineering, MLOps ... Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics ...

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All JobsMathematical Modeling JobsMathematical Modeling Jobs in British Columbia

Mathematical Modeling information

See British Columbia salary details

$23.5K

$91.4K

$183K

How much do mathematical modeling jobs pay per year?

As of Aug 26, 2026, the average yearly pay for mathematical modeling in British Columbia is $91,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

How to get a job in mathematical modeling?

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the key skills and qualifications needed to thrive as a mathematical modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like Python or MATLAB are often essential.
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What are popular job titles related to Mathematical Modeling jobs in British Columbia?

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What job categories do people searching Mathematical Modeling jobs in British Columbia look for?

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Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in British Columbia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $91,393 per year, or $43.9 per hour.

Quantitative Trade

Vancouver, BC • On-site

Z1 Tech
See more jobs at Z1 Techexternal

Full-time

Posted 27 days ago

Job description

Job Overview
We are seeking a highly analytical and detail-oriented Quantitative Trader/Researcher to join our dynamic team. This role involves developing and implementing quantitative models to identify trading opportunities in financial markets. The ideal candidate will possess strong research skills, a solid understanding of investment strategies, and expertise in risk analysis and mathematical modeling within the financial services sector. This position offers an exciting opportunity to contribute to innovative trading strategies and advance your career in quantitative finance.

Duties

  • Conduct rigorous research to develop quantitative models for trading strategies across various asset classes
  • Analyze large datasets to identify patterns, trends, and potential investment opportunities
  • Design, backtest, and optimize algorithmic trading models to improve performance and manage risk effectively
  • Collaborate with team members to refine trading algorithms based on market conditions and new research findings
  • Monitor live trading systems, ensuring models operate efficiently and accurately in real-time environments
  • Stay informed on market developments, financial instruments, and emerging quantitative techniques to enhance trading strategies
  • Document research processes, model assumptions, and performance metrics for ongoing review and improvement

Experience

  • Proven experience in research within the financial services industry, particularly in investment banking or asset management
  • Strong background in finance, with a focus on investment strategies, risk analysis, and quantitative modeling
  • Proficiency in advanced mathematics, statistical analysis, and programming languages such as Python, R, or MATLAB
  • Familiarity with financial markets, instruments, and trading platforms is highly desirable
  • Demonstrated ability to analyze complex data sets and develop innovative solutions for investment challenges
  • Prior experience in developing or implementing algorithmic trading systems is a plus

This role is ideal for individuals passionate about applying quantitative methods to finance, eager to contribute to cutting-edge trading strategies, and committed to continuous learning within a fast-paced environment.

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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