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Algorithm Developer (Quant Researcher) – 2026 PhDs

Hudson River Trading (HRT)London, United Kingdom; New York, NY, United States; Singapore
On-site Full-time $300K/yr - $300K/yr

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Experience Level

Entry Level

Qualifications

We are looking for full-time PhD students in quantitative disciplines such as mathematics, physics, computer science, statistics, or related fields, who will be available for full-time employment in 2026. Ideal candidates will possess:Proficiency in Python programming. Experience in statistical analysis, numerical programming, or machine learning, utilizing tools such as Pandas, Numpy, R, and/or MATLAB. Exceptional analytical and problem-solving abilities. A creative mindset with the ability to work independently on long-term technical challenges.

About the job

Join Hudson River Trading (HRT), a leader in algorithmic trading, as we seek outstanding PhD candidates to enhance our Algorithm Development team. As an Algorithm Developer, you will play a pivotal role in constructing and refining the models that underpin our trading strategies. Your daily responsibilities will involve rigorous statistical analysis of extensive market and financial datasets, enabling you to create predictive trading models that drive our operations.

In this dynamic position, you will collaborate with a team of skilled Algorithm Developers and Software Engineers, engaging in the research, development, and testing of innovative order execution and model training methodologies aimed at optimizing trading efficiency. You will run models live on our top-tier trading infrastructure, analyzing daily performance metrics to ensure sustained profitability. This is an exceptional opportunity to leverage your advanced academic research skills to tackle real-world trading challenges across diverse time horizons and machine learning strategies.

About Hudson River Trading (HRT)

At Hudson River Trading (HRT), we adopt a scientific approach to trading, utilizing one of the most sophisticated computing environments in the industry for research and development. Our team of researchers is at the forefront of innovation in algorithmic trading, coming from diverse backgrounds in mathematics, physics, engineering, and computer science. We are committed to creating a collaborative culture that fosters creativity and excellence, where every team member has the opportunity to make a significant impact.

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