We are a data-driven company with a collegial atmosphere looking for team members who can do great work for application in the algorithmic trading industry.
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
What You Bring
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
Nice to Have
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
What We Offer
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.
