Telecommut
We are hiring a Quantitative Analyst Intern to be based in the Vancouver, British Columbia office. This is a 4-month internship. Our approach is to train successful candidates about our industry, markets and products, as such we are looking for people seeking their initial foray in the financial markets.
About You
You are motivated by intellectual challenge, curiosity, and solving complex problems. You enjoy working with data, writing code, and seeing your ideas move from theory into practice. You actively pursue real-world results in your research.
You are comfortable working with imperfect data and are continuously seeking better ways to analyze, model, and interpret it. You thrive in a high-performance environment and enjoy collaborating closely with other technically strong teammates.
What You'll Do
As a Quantitative Analyst Intern, you will work on meaningful projects that directly support active trading strategies. With guidance from experienced researchers and portfolio managers, you will:
- Contribute to existing trading strategy by driving research projects to completion
- Write code in Python to automate components of the trading system
- Develop and test predictive signals using real market data
- Analyze large, noisy data sets to identify potential investment opportunities
- Implement models and ideas in production-quality code
- Collaborate closely with other researchers and the portfolio manager while owning your individual projects
- Currently pursuing or recently completed a Bachelor's or Master's Degree in mathematics, physics, statistics, engineering, or a related quantitative discipline
- Strong analytical skills and attention to detail
- Demonstrated curiosity and critical thinking ability
- Ability to translate ideas into working code
- Programming experience in Python
- Solid foundation in statistics and mathematical modeling
- Clear and effective written and verbal communication skills
- High personal standards and a strong sense of ownership
- Participation in national or international mathematics, physics, or computer science competitions
- Exposure to R, kdb+, or Unix-based environments
- Prior research experience in an academic or applied setting
- Interest in pursuing a long-term career in quantitative finance or trading
This is an opportunity to gain practical, real-world experience in a research-intensive environment, with the potential to transition into a full-time role upon successful completion of the internship.
