Quantitative Latency Engineer in London

Quantitative Latency Engineer in London

London Full-Time No working from home possible
Hudson River Trading

At a Glance

  • Tasks: Analyse data to optimise trading technology and improve market interactions.
  • Company: Join Hudson River Trading, a leader in algorithmic trading innovation.
  • Benefits: Competitive salary, performance bonuses, and a comprehensive benefits package.
  • Other info: Dynamic culture that values collaboration, diversity, and innovative ideas.
  • Why this job: Make an impact in the fast-paced world of finance without needing prior experience.
  • Qualifications: Degree in Data Analytics or related field; experience in latency reduction preferred.

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities

  • Analyze time series network and exchange protocol captures
  • Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
  • Research exchange features, capabilities, and architecture
  • Automate collection and visualization of metrics that quantify efficacy of exchange communication
  • Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
  • Communicate ideas, requirements, and results across disparate teams
  • Improve fill rate of our hardware-based trading strategy
  • Reduce incidence of cancel-reject responses
  • Investigate and report details of various latency-sensitive exchanges

Profile

  • You possess a degree in Data Analytics or a related field
  • You can collect and interpret network and/or financial market data
  • You have professional experience in latency reduction, preferably in finance
  • You have a basic understanding of proprietary trading and exchange technologies

Skills

  • Proficiency in data analytics including statistics, data visualization, and working with large data sets
  • Basic understanding of TCP and UDP network protocols
  • Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
  • Some familiarity with the details of modern computer systems and networks
  • Experience with real time exchange market data and order entry a plus

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

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.

Quantitative Latency Engineer in London employer: Hudson River Trading

As an Experienced Research Engineer at our company, you will be part of a dynamic and innovative team that thrives on collaboration and cutting-edge technology. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and mentorship, all while working in a fast-paced environment that encourages creativity and problem-solving. Located in a vibrant area, our company provides unique advantages such as access to industry-leading resources and a diverse range of projects across various asset classes, making it an excellent employer for those seeking meaningful and rewarding careers.

Hudson River Trading

Contact Details:

Hudson River Trading Recruitment Team

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We think you need these skills to ace Quantitative Latency Engineer in London

Data Analytics
Statistics
Data Visualisation
Large Data Sets Management
TCP Network Protocols
UDP Network Protocols
Python

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at Hudson River Trading

Brush Up on Your Statistics

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