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.

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 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

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 opportunity with significant growth potential

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