📍
New York, NY

Algo Developer

No experience
Finance
Finance
Posted:
December 28, 2025

Hudson River Trading

Quantitative algorithmic trading firm
75
Palpable Score
Apply >view company >

Algo Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. You will run models live on our high-performance trading infrastructure, and analyze their daily performance to maintain ongoing profitability. Working in close collaboration with fellow algo developers and core developers, you will research, develop, and test novel order execution and model training methods to increase trading efficiency.

Skills

Profile

About the company

Hudson River Trading

Company overview
Hudson River Trading is a quantitative trading firm that builds automated trading systems and provides liquidity across global markets. Hudson River Trading’s work combines software engineering, quantitative research, and trading operations to run high-performance systems in real time. Hudson River Trading hires across technical and business roles, but the most visible early-career routes sit in engineering and quantitative research. Hudson River Trading is private and competes for talent with other top-tier electronic trading firms.

Locations and presence

Hudson River Trading lists major offices including New York City, Chicago, Austin, Boulder, and Cambridge in the U.S., plus international hubs such as London and Singapore, with additional offices referenced publicly (including Dublin and Mumbai). Hudson River Trading roles are typically office-based because teams build and operate time-sensitive trading systems, with some flexibility varying by role and location.

Palpable Score

75
/ 100
Hudson River Trading offers strong early-career access for a selective trading firm, with clear student pathways and internships that map to real technical work. Hudson River Trading is unusually transparent about the software engineering interview format, but the broader candidate experience still looks demanding and feedback and timing expectations are not publicly guaranteed. Learning signals are strong, while pay transparency and published early-career outcomes are limited.
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