Algorithm Developer (Quant Researcher) – 2026 Grads Hudson River Trading · London, United Kingdom

Tradermath; City of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading trading firm in the City of London seeks an Algorithm Developer (Quant Researcher) for 2026 graduates. You will work to develop predictive trading models and collaborate with engineers to enhance trading efficiency. Ideal candidates are pursuing a quantitative degree with programming skills in Python or C++. This role offers a unique opportunity to innovate in algorithmic trading within a culture of collaboration and inclusivity.

Qualifications

• Full-time undergraduate or master's student eligible for full-time roles in 2026.
• Experience with statistical analysis and numerical programming.
• Passionate about applying quantitative models to real-world problems.

Responsibilities

• Build and maintain predictive trading models.
• Research, develop, and test novel order execution methods.
• Analyze daily performance of models to maintain profitability.

Skills

Problem-solving

Statistical analysis

Programming in Python

Programming in C++

Machine learning

Education

Undergraduate or master's in quantitative discipline

Tools

Python

Pandas

Numpy

R

MATLAB

Job description

Algorithm Developer (Quant Researcher) – 2026 Grads at Hudson River Trading

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.

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.

Profile

• You are capable of working independently as well as part of a team
• You can analyze and fix problems efficiently
• You learn quickly and apply new skills effectively

Qualifications

• You are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Experience programming in Python and/or C++
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• A passion for applying quantitative models and technology toward solving real-world problems
• 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 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.