Experienced Quantitative Analyst

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

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

Work setting

• Research and development institution

Tasks

• Develop and validate predictive models across equities, futures, and digital assets
• Generate alpha signals across short- to medium-horizon time frames 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++
• 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