Experienced Quantitative Analyst

Whistler Trading; Surrey; On-site; CAD 80,000 - 100,000; Full time

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

Whistler Trading is a systematic proprietary trading firm founded by industry leaders who previously
built some of the most successful businesses in quantitative finance and high-frequency trading. This is
a rare opportunity to join a growing A-team with incredible talent density, a meritocratic culture, no
politics, and a razor-sharp focus on outcomes.

The Role

Languages

Education

• Degree in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Mathematics, or a related field
• PhD is an asset

Experience

• 2 years to less than 3 years

Work must be completed at the physical location. There is no option to work remotely.

Work setting

• Research and development institution

Responsibilities

Tasks

• Develop and validate predictive models across equities, futures, and digital assets
• Generate alpha signals across short- to medium-horizon timeframes suitable for production deployment
• Conduct alpha and strategy research using machine learning and statistical modeling 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 company’s research infrastructure and methodologies
• Push research to production with immediate feedback on performance

Experience and specialization

Computer and technology knowledge

• Python
• Rust
• C++
• Statistical modeling
• Data analysis software

Area of specialization

• Quantitative research
• Algorithmic trading
• Medium-frequency trading strategies

Area of work experience

• Quantitative research within a trading firm or financial institution
• Production deployment of trading strategies

Why Whistler?

• Work with the best in the industry
• No politics, just performance
• Rapid feedback loops, real impact
• Long-term opportunity with significant growth potential