Hudson River Trading

Junior Quantitative Latency Engineer

Hudson River Trading$200K — $300K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Technical degree or equivalent practical experience required.
  • Experience with Python and Pandas is essential.
  • Proficiency in data analytics, including statistics and data visualization.
  • Ability to work with and analyze large datasets critically.
  • Strong curiosity about financial systems and willingness to learn.
  • Analytical thinking and problem-solving skills are necessary.
  • Effective cross-functional communication skills for collaboration.

Responsibilities

  • Contribute to enhancements of low-latency trading systems.
  • Analyze real-world data to evaluate technology and system performance.
  • Develop Python tools for data collection, cleaning, and visualization.
  • Design experiments to assess the impact of system changes.
  • Collaborate with teams to identify and implement architectural improvements.
  • Engage with global exchanges to understand technological updates.

Benefits

  • Discretionary performance-based bonuses available.
  • Eligibility for a competitive benefits package.
Full Job Description
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
  • Contribute directly to impactful improvements to HRT's low-latency trading systems
  • Analyze large datasets to understand how complex systems and networks behave in real-world conditions, such as exchange technology and performance of HRT systems
  • Build Python-based tools and scripts to collect, clean, and visualize data in a clear and actionable way
  • Design and run experiments to measure the impact of changes and identify opportunities for improvement
  • Collaborate closely with HRT's Algorithm Development, Trading Technology, and Business Development teams to discover, research, and implement improvements to HRT's architecture
  • Liaise with exchanges globally to better understand their technology and stay up to date on changes and improvements

Qualifications
  • A technical degree or equivalent practical experience
  • Experience with Python and Pandas
  • Proficiency in data analytics including statistics, data visualization, and working with large data sets
  • Strong curiosity about how financial systems, networks, and cutting-edge technology work, and a willingness to learn new concepts quickly
  • Ability to think analytically, ask insightful questions, and approach unfamiliar problems methodically
  • Strong cross-functional communication skills and an interest in collaborating with others

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.

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.

About Hudson River Trading

Hudson River Trading (HRT) is a multi-asset class quantitative trading firm, and more specifically a high-frequency trading (HFT) firm, based in New York City and founded in 2002. The company is a global liquidity provider and market maker, operating in markets across the world, including equities, futures, options, currencies, and fixed income. HRT uses advanced technology and algorithms to analyze market data and execute trades at high speeds, with a focus on providing liquidity to the markets and minimizing risk. The company is known for its innovative approach to trading and its use of cutting-edge technology, including machine learning and artificial intelligence.
Learn more about Hudson River Trading
Size
500 employees
Industry

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