HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure.

Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential.

HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models.

Skills

  • 3+ years of prior work experience in stat-arb required
  • Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics)
  • Exceptional academic credentials
  • Demonstrated ability to conduct research using large noisy real-world datasets
  • Exceptional attention to detail and desire to understand issues deeply
  • Outstanding work ethic and ability to thrive in a fast-paced environment
  • Strong numerical programming skills, including proficiency in Python for data analysis and machine learning. Experience with C++ a plus

Annual base salary range of $175,000 to $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)
When autocomplete results are available use up and down arrows to review
+ Add another education


Self-Identification Form

HRT Cares about fostering diversity of gender identity/expression, sexual orientation, race, veteran and disability status within our organization. We do not discriminate based on any of these factors and any information provided on the following form is kept completely confidential; your interviewers will not see this. In order to track the effectiveness of our recruiting efforts please fill out the survey:

What is your gender? *





Do you identify as transgender? (Select one) *



What is your sexual orientation? *






Are you a veteran? (Select one) *



Do you have a disability? (Select one) *



What race/ethnicity do you identify as? *









Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.