Experienced Quantitative Analyst

Whistler Alpha Research Limited; Surrey; On-site; CAD 75,000 - 95,000; Full time

Job summary

Whistler Alpha Research Limited in Surrey is looking for a quantitative researcher with a strong foundation in machine learning and statistical modeling. The role involves developing predictive models and generating alpha signals across different asset classes such as equities and futures.

Applicants should have a degree in a relevant field and at least 2 years of experience. This position requires on-site work as there is no remote option. Join a team dedicated to excellence and innovation in quantitative finance.

Qualifications

• Minimum of 2 years experience in quantitative finance or machine learning.
• Strong background in research and development.
• Ability to develop and validate predictive models.

Responsibilities

• Develop predictive models across various asset classes.
• Generate alpha signals for production.
• Conduct research using machine learning techniques.
• Ensure reproducibility of research outputs.

Skills

Machine Learning

Statistical Modeling

Predictive Modeling

Research Analysis

Education

Degree in Computer Science or related field

PhD (asset)

Job description

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

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 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