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.
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
On site
Work must be completed at the physical location. There is no option to work remotely.
Work setting
- Research and development institution
- Financial services industry
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
Computer and technology knowledge
- Python
- Rust
- C++
- Machine Learning
- 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
- Work with the best in the industry
- No politics, just performance
- Rapid feedback loops, real impact
- Long-term opportunity with significant growth potential
