Job description

Quantitative Researcher Job Description for Headlands Tech Locations: Amsterdam; Chicago; London; New York Scope : As a Quantitative Researcher at Headlands Tech, you'll join a team of quantitative researchers responsible for the firm's portfolio of automated electronic trading strategies. You'll research and develop predictive signals and trading models, iterating to drive measurable improvements in strategy PnL. Working closely with colleagues, you'll own ideas from hypothesis through production and be responsible for the results they generate. Qualifications : Low ego; effective both collaboratively and autonomously Highly motivated and ambitious, with a focus on results Experience or demonstrable interest in systematic trading A track record of applying statistics and machine learning to noisy real-world data Solid software development skills, with practical experience in Java, C++, or Python A drive to turn research into profitable, scalable, and maintainable trading strategies New grads should apply via the separate New Grad posting . We are proud to be an equal opportunity workplace and to provide employees with a work environment free of discrimination and harassment. All employment decisions at Headlands Tech are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics. Headlands Tech will not tolerate discrimination or harassment based on any of these characteristics. By completing this application you agree to our GDPR and Privacy Policies .

Requirements

Must-haves

Quantitative Researcher Job Description for Headlands Tech
Locations: Amsterdam; Chicago; London; New York
Low ego; effective both collaboratively and autonomously
Highly motivated and ambitious, with a focus on results
Experience or demonstrable interest in systematic trading
A track record of applying statistics and machine learning to noisy real-world data
Solid software development skills, with practical experience in Java, C++, or Python
A drive to turn research into profitable, scalable, and maintainable trading strategies
New grads should apply via the separate New Grad posting .
By completing this application you agree to our GDPR and Privacy Policies .

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningjavapython

Platform: greenhouse
Effort: quick