Develop and backtest quantitative trading models, analyze financial datasets, monitor live trading systems, and document research findings. Build agentic AI workflows and rapidly prototype research tools, trading applications, and data-driven systems using LLMs, coding agents, APIs, testing, version control, and cloud deployment. Apply advanced mathematics, statistics, investment strategy, and risk analysis to improve algorithmic trading performance.
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.
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 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
- Design and implement agentic AI workflows to automate research, data analysis, experimentation, and software development processes
- Rapidly prototype, build, and iterate on quantitative research tools, trading applications, and AI-driven systems, taking ideas from initial concepts to functional implementations
- Leverage AI coding agents, LLMs, and modern development frameworks to accelerate experimentation, engineering, testing, and deployment
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
- 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.
Similar Jobs
Fintech • Information Technology • Analytics • Financial Services
The Quantitative Analyst will drive projects in algorithmic trading, analyze datasets, automate trading systems, and develop predictive quantities, collaborating with colleagues and portfolio managers.
Top Skills:
C++Kdb+PythonRUnix
eCommerce • Fintech • Payments • Software • Financial Services
Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding tools. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage metrics, and iterate based on customer feedback. Document effective prompts and development patterns while collaborating across teams.
Top Skills:
Ai Coding AgentsAnalyticsAPIsDatabasesFull-Stack ApplicationsPrompt EngineeringQueues
eCommerce • Fintech • Payments • Software • Financial Services
Build end-to-end applications, workflow automations, and basic agents using AI coding agents. Translate customer needs into specifications, deploy solutions, measure usage and outcomes, evaluate AI-generated output for security and quality, engage with customers, and document effective prompts and development patterns.
Top Skills:
Ai Coding AgentsAPIsBackendDatabasesFrontendFull-Stack ApplicationsInfrastructureQueues
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
