Quantitative Researcher

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

Job summary

Z1 Tech in Vancouver is seeking a highly analytical Quantitative Researcher to join our trading-focused team. You will develop and implement quantitative models to identify opportunities in financial markets and contribute to innovative strategies.

The role requires strong research skills, a solid foundation in investment strategies, risk analysis, and proficiency in Python, R, or MATLAB. You will backtest ideas, analyze large datasets, and collaborate with colleagues to refine models for live

Qualifications

• Proven experience in research within financial services, including investment banking or asset management.
• Strong background in finance, with focus on investment strategies, risk analysis, and quantitative modeling.
• Proficiency in Python, R, or MATLAB.
• Familiarity with financial markets and trading platforms.
• Experience developing or implementing algorithmic trading systems is a plus.

Responsibilities

• 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
• 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

Skills

Quantitative research

Financial markets knowledge

Python/R/MATLAB

Data analysis

Algorithmic trading

Tools

Trading platforms

Job description

Job Overview
We are seeking a highly analytical and detail-oriented Quantitative 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.