Hudson River Trading Logo

Hudson River Trading

Experienced C++ Developer, Distributed Compute

Posted 9 Hours Ago
Be an Early Applicant
Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
The role involves optimizing a research computing environment for algorithmic trading, improving performance through resource scheduling and cache management, and developing solutions tailored to user needs. Collaboration with quantitative traders and leadership in technical direction are key responsibilities.
The summary above was generated by AI

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it’s where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. You’ll work everyday with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

  • Ensure HRT’s research environment is best in class, with a focus on user workloads
    • Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
    • Optimize workloads at the user level to speed up user iteration speed
    • Tune workloads at the infrastructure level to make them more resource-efficient
    • Share metrics and real-time information with users to give insight into workload behavior
    • Sit down with users to understand their specific technical needs
  • Contribute individually and through leadership and coordination of the above
  • Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field
  • Strong C++ expertise (daily use preferred)
  • Python familiarity preferred
  • Experience collaborating closely with quantitative researchers and traders to understand their needs
  • Great communication capabilities
  • Superior design, debugging, and problem solving skills
  • Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

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++
Python

Similar Jobs at Hudson River Trading

Be an Early Applicant
7 Days Ago
London, Greater London, England, GBR
1,000 Employees
Mid level
1,000 Employees
Mid level
Artificial Intelligence • Fintech • Other • Automation
As an Algo Web Engineer at HRT, you will build UIs and backend processes to support Algo Developers and Traders in managing trading processes, executing trades, and analyzing risk. You will engage with large data sets and contribute to the research infrastructure, partnering with various teams to develop impactful technological solutions.
Be an Early Applicant
8 Days Ago
London, Greater London, England, GBR
1,000 Employees
Entry level
1,000 Employees
Entry level
Artificial Intelligence • Fintech • Other • Automation
As a Treasury Infrastructure Software Engineer, you will design, develop, and maintain software solutions for treasury functions, ensuring they are efficient, secure, and scalable. You will work with various teams, optimize infrastructure, support treasury systems, and ensure compliance with regulations.
Be an Early Applicant
8 Days Ago
London, Greater London, England, GBR
1,000 Employees
Mid level
1,000 Employees
Mid level
Artificial Intelligence • Fintech • Other • Automation
As an Experienced C++ Developer at Hudson River Trading, you'll collaborate with quantitative trading teams to enhance and maintain trading infrastructure for fixed income and currency trading. This role involves significant coding, debugging, and problem-solving skills, with an emphasis on C++. You'll work both independently and in teams, improving performance and functionality of trading systems.

What you need to know about the Manchester Tech Scene

Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account