Hudson River Trading in Austin, TX seeks a Quantitative Latency Engineer to analyze market data and optimize trading infrastructure globally. You will apply data-driven methods to understand latency and exchange interactions across traditional and crypto venues, with no prior finance experience required.
The role emphasizes Python data analytics, TCP/UDP knowledge, and real-time data handling, with a base salary range of 200,000–300,000 USD per year and discretionary bonuses.
#J-18808-LjbffrLatency Engineer - Data-Driven Market Tech in austin at Unknown Company
This position is listed as full time and onsite.