Algorithm Developer (Quant Researcher) – 2026 PhDs

Overview

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm 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.

Responsibilities

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 will apply advanced academic research experience and expertise to impactful real-world problems in trading across time horizons and machine learning strategies.

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.

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 2026.
• 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.

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 algorithmic trading. We welcome a variety of expertise—from mathematics and computer science to physics, engineering, media, and tech. We are 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. Our culture values openness and collaboration, and great ideas from both veterans and new hires are celebrated. We are a diverse, global team and an equal opportunity employer; we’d love to get to know you.