Quantitative Trade

Z1 Tech; Vancouver; On-site; CAD 110,000 - 180,000; Full time

Job summary

Z1 Tech in Vancouver seeks a highly analytical Quantitative Trader/Researcher to develop and implement quantitative models that identify trading opportunities in financial markets. You will conduct rigorous research, backtest strategies, and monitor live systems, leveraging Python, R and MATLAB to analyze data and optimize risk-adjusted performance.

The role requires a strong foundation in finance, investment strategies and quantitative modeling, with experience in the financial services sector.

Qualifications

• Experience in financial services, particularly in investment banking or asset management.
• Strong background in finance with focus on investment strategies, risk analysis and quantitative modeling.
• Proficiency in advanced mathematics, statistics and programming languages (Python, R, MATLAB).

Responsibilities

• Conduct rigorous research to develop quantitative models for trading strategies across asset classes.
• Analyze large datasets to identify patterns, trends and opportunities.
• Design, backtest and optimize algorithmic trading models to improve performance and manage risk.
• Collaborate with team to refine trading algorithms based on market conditions and new findings.
• Monitor live trading systems to ensure models operate efficiently in real time.
• Stay informed on market developments, instruments and quantitative techniques.
• Document research processes, model assumptions and performance metrics for review.

Skills

Quantitative research

Financial modeling

Risk analysis

Python

R

MATLAB

Data analysis

Tools

Trading platforms

Job description

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.

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.