Experienced Quantitative Analyst

About Whistler Trading

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

This is an on-site position in a research and development institution within the financial services industry. Work must be completed at the physical location with no option to work remotely.

Responsibilities

• 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

Requirements

• Degree in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Mathematics, or a related field
• 2 to 3 years of experience
• Fluent in English

Preferred Qualifications

• PhD in a relevant field

Required Skills and Experience

• Python
• Rust
• C++
• Machine Learning
• Statistical modeling
• Data analysis software
• Quantitative research
• Algorithmic trading
• Medium-frequency trading strategies
• Quantitative research within a trading firm or financial institution
• Production deployment of trading strategies

Why Join Whistler Trading

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