Algorithm Developer (Quant Researcher) – 2026 Grads

Posted 4 Days Ago
Be an Early Applicant
London, Greater London, England
In-Office
Internship
Artificial Intelligence • Fintech • Other • Automation
We are mathematicians, computer scientists, statisticians, physicists and engineers.
The Role
Algorithm Developers build and maintain trading models through statistical analysis of financial data, developing competitive predictive models and improving trading efficiency.
Summary Generated by Built In

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.

Top Skills

C++
Matlab
Numpy
Pandas
Python
R
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The Company
HQ: New York, NY
0 Employees
Year Founded: 2002

What We Do

Hudson River Trading 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.

Why Work With Us

At HRT we are mathematicians, computer scientists, statisticians, physicists and engineers. We believe that by cultivating an environment that encourages idea sharing and collaboration, we develop our best strategies. We boast a flat management structure as all our people are motivated by being at the forefront of the automated trading world.

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Hudson River Trading Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Teams have a range of in-office needs: some require 24/7 coverage or hands-on maintenance, while others operate across time zones. While the majority of teams adopt a fairly even split between in-office and remote work, many come in every day.

Typical time on-site: Not Specified
HQNew York, NY
Singapore
Austin, TX
Boston, MA
Boulder, CO
Chicago, IL
Dublin, Ireland
Seoul, KR
London, GB
Mumbai, IN
Seattle, WA
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