Hudson River Trading
Algorithm Developer (Quant Researcher) – 2025 PhDs
Hudson River Trading, New York, New York, us, 10261
Please only apply to one job posting. In the application questions below, you’ll have the opportunity to indicate if you’re interested in multiple offices and/or roles. Please do not submit multiple applications for different positions/offices!
This role is directed at current
PhD
students seeking a 2025 start date. For 2026 start dates please take a look at our internships.
Job OverviewAlgorithm Developers 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.
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 2025.
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.
Profile
You’re excited to apply your research expertise to identify new opportunities in worldwide markets.
You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently.
You are a critical thinker who can learn and implement new skills in a fast-changing environment.
Annual base salary range of $175,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. 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.
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This role is directed at current
PhD
students seeking a 2025 start date. For 2026 start dates please take a look at our internships.
Job OverviewAlgorithm Developers 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.
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 2025.
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.
Profile
You’re excited to apply your research expertise to identify new opportunities in worldwide markets.
You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently.
You are a critical thinker who can learn and implement new skills in a fast-changing environment.
Annual base salary range of $175,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. 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.
#J-18808-Ljbffr