Algorithm Developer (Quant Research & Trading) – 2027 PhDs
Algorithm Developers at Hudson River Trading build and maintain the statistical and machine-learning models that drive the firm's trading: researching and testing new order-execution and model-training methods, running models live on high-performance infrastructure, and analyzing daily performance. This role targets PhD students eligible for full-time work in 2027.
- Compensation
- $300K / yr
- Location
- London, United Kingdom; New York, NY, United States; Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Not specified
- Posted
Skills
Must have
- Full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or related) eligible for full-time roles in 2027
- Fluency in Python
- Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
- Brilliant analytical and problem-solving skills
- Ability to work creatively and independently on long-term technical problems
Full description
Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.
In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.
Ideal candidates are excited to apply their research expertise to identify new opportunities in worldwide markets, enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently, and are critical thinkers who can learn and implement new skills in a fast-changing environment.
Qualifications
- You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027
- Fluency in Python
- Experience with statistical analysis, numerical programming, or machine learning in Python,
- Pandas/Numpy, R, and/or MATLAB
- Brilliant analytical and problem-solving skills
- Ability to work creatively and independently on long-term technical problems
Base salary for US is $300,000. Other locations have similarly locally competitive base salaries. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.
We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.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.