Quantitative Trade
Vancouver, BC · On-site
Analyze large datasets to identify patterns, trends, and potential investment opportunities * Design, backtest, and optimize algorithmic trading models to improve performance and manage risk ...
Quantitative Trade
Vancouver, BC · On-site
Analyze large datasets to identify patterns, trends, and potential investment opportunities * Design, backtest, and optimize algorithmic trading models to improve performance and manage risk ...
Conduct trade studies and analysis of alternatives (AoAs) to explore design options and their trade ... Our hiring decisions are made by people, not algorithms. We are committed to fostering, cultivating ...
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Conduct trade studies and analysis of alternatives (AoAs) to explore design options and their trade ... Our hiring decisions are made by people, not algorithms. We are committed to fostering, cultivating ...
CNNs, transformers, spatio temporal models), including understanding of trade-offs and how to adapt ... Excellent algorithmic, analytic, problem solving, debugging, optimization and code reviewing skills
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CNNs, transformers, spatio temporal models), including understanding of trade-offs and how to adapt ... Excellent algorithmic, analytic, problem solving, debugging, optimization and code reviewing skills
Director of Computer Vision
Vancouver, BC · On-site
We are industry leaders in video security and analytics, with solutions deployed in more than 120 ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...
Director of Computer Vision
Vancouver, BC · On-site
We are industry leaders in video security and analytics, with solutions deployed in more than 120 ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...
Algorithmic Trading Analyst information
See Vancouver, BC salary details
$33.2K - $45.7K
4% of jobs
$45.7K - $58.3K
9% of jobs
$66.2K is the 25th percentile. Wages below this are outliers.
$58.3K - $70.8K
18% of jobs
$70.8K - $83.4K
12% of jobs
The median wage is $93.6K / yr.
$83.4K - $96K
8% of jobs
$96K - $108.5K
7% of jobs
$108.5K - $121.1K
4% of jobs
$121.1K - $133.7K
8% of jobs
$137.4K is the 75th percentile. Wages above this are outliers.
$133.7K - $146.2K
12% of jobs
$146.2K - $158.8K
9% of jobs
$158.8K - $171.3K
7% of jobs
$33.2K
$105.5K
$171.3K
How much do algorithmic trading analyst jobs pay per year?
As of Sep 6, 2026, the average yearly pay for algorithmic trading analyst in Vancouver, BC is $105,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,311.00 and $140,692.00 per year, depending on experience, location, and employer.
What is an algorithmic trading analyst?
An Algorithmic Trading Analyst is a finance professional who designs, develops, and tests automated trading strategies using mathematical models and computer algorithms. They analyze market data, identify patterns, and create systems that can execute trades at optimal times and prices without human intervention. Their work involves programming, data analysis, and a deep understanding of financial markets. These analysts often collaborate with traders, quants, and software engineers to improve trading performance and manage risks.
What are the key skills and qualifications needed to thrive as an algorithmic trading analyst?
To thrive as an Algorithmic Trading Analyst, you need a solid background in quantitative analysis, programming skills (often in Python, C++, or Java), and a degree in finance, mathematics, statistics, or a related field. Familiarity with trading platforms, market data feeds, backtesting frameworks, and certifications such as CFA or FRM can be highly beneficial. Exceptional problem-solving abilities, attention to detail, and strong communication skills help analysts adapt strategies and collaborate with trading teams. These skills are crucial for developing robust trading algorithms, minimizing risk, and capitalizing on market opportunities in a fast-paced environment.
What are some of the main challenges faced by algorithmic trading analysts in their daily work?
Algorithmic Trading Analysts often encounter challenges such as adapting to rapidly changing market conditions and ensuring that trading algorithms remain robust and effective. They must vigilantly monitor algorithm performance, quickly troubleshoot issues, and fine-tune models to minimize risk and maximize returns. Additionally, collaborating with software developers, traders, and risk managers is essential to implement updates and maintain compliance with regulatory standards. Staying current with the latest financial technologies and market trends is also crucial for long-term success in this dynamic field.
What is the difference between Algorithmic Trading Analyst vs Quantitative Analyst?
| Aspect | Algorithmic Trading Analyst | Quantitative Analyst |
|---|---|---|
| Required Credentials | Bachelor's in finance, computer science, or related field; often certifications like CFA or CQF | Degree in mathematics, statistics, or finance; advanced certifications like CFA or FRM common |
| Work Environment | Financial firms, hedge funds, trading desks; focus on developing and implementing trading algorithms | Investment banks, asset management firms; focus on modeling and data analysis for investment strategies |
| Employer & Industry Usage | Primarily in trading and hedge fund industries | Broader across finance, risk management, and research roles |
While both roles require strong quantitative skills and familiarity with financial markets, Algorithmic Trading Analysts focus on developing and deploying trading algorithms, whereas Quantitative Analysts often work on broader financial modeling and risk assessment. The roles overlap in skills and certifications but differ in daily tasks and primary objectives.
Full-time
Re-posted 9 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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