Quantitative Researcher: Alpha Signals to Production
Whistler Trading
Surrey
On-site
CAD 80,000 - 100,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
A systematic proprietary trading firm in Surrey, Canada, seeks a quantitative researcher to develop and validate predictive models across various assets. The ideal candidate has 2+ years of experience and possesses skills in Python, Rust, and C++. They will work in a collaborative team to conduct research, optimize portfolios, and push models to production. This role offers a significant long-term growth opportunity in a performance-driven culture with no internal politics.
Qualifications
2 years to less than 3 years of experience in quantitative research.
Experience in production deployment of trading strategies.
Responsibilities
Develop and validate predictive models across equities, futures, and digital assets.
Generate alpha signals across short- to medium-horizon timeframes.
Conduct alpha and strategy research using machine learning techniques.
Ensure research outputs are transparent, reproducible, and production-ready.
Optimize portfolios and analyze trading performance.
Collaborate with researchers and engineers in a high-performing team.
Contribute to the continuous improvement of the research infrastructure.
Push research to production with immediate feedback.
Skills
Python
Rust
C++
Statistical modeling
Data analysis software
Education
Degree in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Mathematics, or a related field
PhD
Job description
A systematic proprietary trading firm in Surrey, Canada, seeks a quantitative researcher to develop and validate predictive models across various assets. The ideal candidate has 2+ years of experience and possesses skills in Python, Rust, and C++. They will work in a collaborative team to conduct research, optimize portfolios, and push models to production. This role offers a significant long-term growth opportunity in a performance-driven culture with no internal politics.