Senior Quantitative Researcher

About Us

Whistler Trading is a quantitative proprietary trading firm founded by veterans of top-tier proprietary trading firms and institutional market makers. We trade systematically across centralized and decentralized crypto exchanges and traditional financial venues, in a lean, high-conviction team where every researcher's work has direct, measurable impact. We value talent density over headcount — small team, outsized impact, real ownership.

The Role

Whistler Trading is looking for an experienced Quantitative Researcher to develop trading signals and predictive models for our high-frequency crypto business. If you enjoy solving hard problems, working with large tick-level datasets, and building models that move live P&L, this role is for you.

You'll research and deploy statistically robust alpha across crypto spot, perpetuals and derivatives — spanning centralized (CEX) and decentralized (DEX) venues — to better understand and predict market behavior. Your work will directly inform trading strategies and have a measurable impact on performance. You'll also help shape research direction by exploring new approaches and sharpening existing methods.

Whistler has strong advantages in market access, technology and execution across crypto and traditional markets, and you'll work alongside traders and engineers to translate research into production.

Responsibilities

• Develop and test alpha signals and predictive models for crypto markets (spot, perps, derivatives)
• Perform large-scale, tick-level data analysis to uncover patterns and trading opportunities
• Apply rigorous statistical methods to ensure robustness and reliability of results
• Build deep understanding of market microstructure, pricing dynamics and structural inefficiencies
• Own strategies end to end — from signal to live P&L, including risk, execution and transaction-cost analysis
• Collaborate with traders and engineers to take research into production
• Continuously improve models and identify new areas of research

Requirements

• 4+ years of quantitative research experience, ideally in HFT (Crypto or Traditional markets)
• Strong foundation in probability, statistics and quantitative modeling
• Proven track record of developing impactful trading signals or models
• Experience with large datasets and time-series data
• Strong programming skills — Python; C++ or Rust a plus
• Curious, analytical, ownership-driven mindset

Nice to Have

• IIT background
• Advanced degree (MS/PhD)
• DEX/on-chain experience
• MEV experience
• Crypto options experience

Compensation

Compensation is highly competitive, benchmarked against the leading global trading firms, with significant performance-linked upside directly tied to the P&L you generate.