Hudson River Trading

Experienced Low Level Software Engineer (C++), Distributed Compute

Hudson River Trading  •  Singapore, SG (Onsite)  •  4 months ago
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Job Description

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 every day 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.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

Hudson River Trading

About Hudson River Trading

At Hudson River Trading (HRT) we are mathematicians, computer scientists, statisticians, physicists and engineers. We research and develop automated trading algorithms using advanced mathematical techniques. We have built one of the world's most sophisticated computing environments, and our researchers are at the forefront of innovation in the world of algorithmic trading.

HRT’s founding partners graduated from Harvard and MIT with degrees in computer science and mathematics, and founded HRT in 2002. Armed with programming skills and sharp quantitative minds, the founders hypothesized that by applying a fresh take to trading stocks, one that truly leverages the power of technology, they could meaningfully impact a world still dominated by manual operators. Very quickly, their algorithms saw success in the markets and HRT grew from their origins in US equities to a global, multi-asset class trading firm.

Today HRT employs over 800 brilliant minds from a variety of disciplines—from highly technical to deeply mathematical to the liberal arts. We are critical thinkers and eager automators, chasing new solutions to any problem we encounter.

We trade on nearly all of the world’s electronic markets, and are a leading voice for fair and open markets. Our internal code of ethics far exceeds the expectations of the regulatory environment in which we operate. We are conscientious market participants advocating for fair and transparent markets for everyone. This philosophy influences every aspect of our research.

Please be aware that HRT emails will always come from the @hudson-trading.com domain; a genuine offer document will not be signed by a recruiter; and HRT will never request your personal banking information or payment of any kind during the recruitment process. If you have received what you suspect is a fraudulent offer or suspicious communication with HRT, or if you have any questions, please reach out to security@hudson-trading.com.

Industry
Finance & Insurance
Company Size
1,001-5,000 employees
Headquarters
New York, NY
Year Founded
2002
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