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Quantitative Researcher
Z1 Tech, Vancouver
The role
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.
What you will do
- Conduct rigorous research to develop quantitative models for trading strategies across various asset classes
Analyze large datasets to identify patterns, trends, and potential investment opportunitiesDesign, backtest, and optimize algorithmic trading models to improve performance and manage risk effectivelyCollaborate with team members to refine trading algorithms based on market conditions and new research findingsMonitor live trading systems, ensuring models operate efficiently and accurately in real-time environmentsStay informed on market developments, financial instruments, and emerging quantitative techniques to enhance trading strategiesDocument research processes, model assumptions, and performance metrics for ongoing review and improvementDesign and implement agentic AI workflows to automate research, data analysis, experimentation, and software development processesRapidly prototype, build, and iterate on quantitative research tools, trading applications, and AI-driven systems, taking ideas from initial concepts to functional implementationsLeverage AI coding agents, LLMs, and modern development frameworks to accelerate experimentation, engineering, testing, and deploymentWhat you need
- 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
- Hands-on experience designing and orchestrating agentic workflows using LLMs, AI coding agents, tool integrations, and automated execution pipelines
- Demonstrated ability to rapidly prototype and build end-to-end software applications, research infrastructure, and data-driven products
- Experience with modern software development practices, including APIs, version control, testing, cloud deployment, and iterative product development
- Ability to independently translate abstract research ideas into working prototypes, production-ready tools, and scalable systems
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.
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Source: the Z1 Tech Lever job board. We last checked this job 45 min ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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