Quantitative Researcher (Mid-Freq)
At a glance
Mid-level Data Science role at Hudson River Trading. New York · full-time · $175,000–$300,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Use statistical analysis on varied datasets to find market signals and turn those forecasts into systematic trading models
- Develop strategy components spanning signal research, portfolio design and optimization, and execution algorithms
- Test ideas in code, then build them into production systems for mid-frequency trading
- Work with fellow researchers to create fresh approaches and improve existing trading models
What you bring
- At least three years of professional stat-arb experience
- A degree in a technical or quantitative area, such as statistics, computer science, physics, mathematics or economics
- A track record of researching large, noisy real-world datasets and examining results carefully
- Strong numerical coding skills, including Python for data analysis and machine learning
Who this fits
This mid-level role suits a quantitative researcher who enjoys both statistical investigation and programming models through to production. It is based in New York.
From the employer
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
The estimated base salary range for this position is $175,000 to $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
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.
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