Job Search and Career Advice Platform

Enable job alerts via email!

Algorithm Developer (Quant Researcher) – 2026 Grads

Hudson River Trading

Greater London

On-site

GBP 40,000 - 70,000

Full time

6 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading algorithmic trading firm in Greater London seeks Algorithm Developers to build and maintain predictive trading models. In this role, you will leverage statistical analysis of vast market data and collaborate with a team of developers and engineers to enhance trading efficiency. Ideal candidates are students in quantitative disciplines with programming experience in Python or C++. The firm values a diverse environment where all voices are heard and everyone collaborates to succeed.

Qualifications

  • Eligible for full-time roles in 2026.
  • Able to learn quickly and apply new skills.
  • Capable of working independently and in teams.

Responsibilities

  • Build and maintain models to drive trading.
  • Apply statistical analysis to market data.
  • Research and test novel trading methods.

Skills

Python programming
C++ programming
Statistical analysis
Machine learning
Analytical skills
Problem solving

Education

Full-time undergraduate or masters student in quantitative discipline

Tools

Pandas
Numpy
R
MATLAB
Job description

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.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.