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
We’re seeking an exceptional Quantitative Researcher with experience in High-Frequency Trading
(HFT). The ideal candidate is among the best in their field, highly ambitious, and a proven
problem-solver with excellent judgment. You’ll have the prospect to work closely with world-class
peers, grow your role significantly over time, and build a rewarding long-term career in systematic
trading.
What You’ll Do
Conduct cutting-edge alpha and strategy research using state-of-the-art ML and statistical
modeling techniquesGenerate innovative alpha ideas and explore new datasets in a collaborative workplace
Optimize portfolios and analyze trading performance
Collaborate with top-tier researchers and engineers, contributing to a high-performing team
Push research to production with immediate feedback on performance
Become a core contributor to our trading strategies and research platform
Qualifications
2+ years of experience in quantitative research within HFT
Degree in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Math, or
related field (PhD a plus)
Proven research track record demonstrating innovation in your field
Experience in machine learning or statistical modeling is a strong plus
Proficiency in Python, Rust, C++, or other modern programming languages
Robust problem-solving skills and a relentless drive to succeed
Passion for continuous learning and growth
Collaborative mindset and ability to thrive in a high-performance team
Why Whistler?
Work with the best in the industry
No politics, just performance
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