Real-Time Latency Engineer for Global Markets

Hudson River Trading; New York (NY); On-site; USD 200,000 - 300,000; Full time

Job summary

Hudson River Trading (HRT) is looking for a Quantitative Latency Engineer to enhance trading technology and optimize real-time interactions in financial markets. Applicants should have a degree in Data Analytics or a related field and the ability to analyze network data.

The role focuses on automating metrics collection, conducting experiments to improve trading strategies, and familiarizing yourself with market specifics. The expected salary is $200,000 to $300,000 annually, plus performance bonuses.

Qualifications

• Proficient in working with large data sets and analyzing network data.
• Professional experience in latency reduction, preferably in finance.
• Basic understanding of proprietary trading and exchange technologies.

Responsibilities

• Analyze time series network and exchange protocol captures.
• Automate collection and visualization of metrics quantifying exchange communication efficacy.
• Formulate and conduct experiments measuring changes to trading infrastructure.

Skills

Data analytics

Statistics

Data visualization

Python

TCP and UDP network protocols

Education

Degree in Data Analytics or related field

Tools

Pandas

NumPy

Job description

Hudson River Trading (HRT) is looking for a Quantitative Latency Engineer to enhance trading technology and optimize real-time interactions in financial markets. Applicants should have a degree in Data Analytics or a related field and the ability to analyze network data.

The role focuses on automating metrics collection, conducting experiments to improve trading strategies, and familiarizing yourself with market specifics. The expected salary is $200,000 to $300,000 annually, plus performance bonuses.