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Quantitative Modeling Jobs in British Columbia (NOW HIRING)

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 ...

Experience with quantitative imaging and image quality assessment. * Experience utilizing Monte Carlo simulation tools for imaging system modeling and evaluation. * Experience with detector physics ...

The role will be responsible for delivering high quality data science models, and the logistical ... A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ...

The role will be responsible for delivering high quality data science models, and the logistical ... A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ...

The role will be responsible for delivering high quality data science models, and the logistical ... A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ...

The role will be responsible for delivering high quality data science models, and the logistical ... A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats) * 1-2 years ...

... quantitative neuroscience to support ongoing research programs focused on Parkinson's disease and ... Integrate computational modeling and machine learning approaches to enable robust biomarker ...

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Quantitative Modeling information

See British Columbia salary details

$33K

$141.7K

$264K

How much do quantitative modeling jobs pay per year?

As of Aug 29, 2026, the average yearly pay for quantitative modeling in British Columbia is $141,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $175,000.00 per year, depending on experience, location, and employer.

What is a quantitative modeling?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are typical daily tasks and projects for someone in a quantitative modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What are the key skills and qualifications needed to thrive in the quantitative modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What does a quantitative modeler do?

A quantitative modeler develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making. They use programming languages like Python or R and tools such as Excel or specialized software, often working in finance, investment, or risk management environments.

What are popular job titles related to Quantitative Modeling jobs in British Columbia?

For Quantitative Modeling jobs in British Columbia, the most frequently searched job titles are:

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

The top searched job categories for Quantitative Modeling jobs in British Columbia are:

Infographic showing various Quantitative Modeling job openings in British Columbia as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $141,744 per year, or $68.1 per hour.

Quantitative Trade

Vancouver, BC

Full-time

Re-posted 13 hours 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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