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 prospect 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 chance with significant growth potential
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