Low-Latency Algorithmic Trading Developer

Liquidnet; New York (NY); Hybrid; USD 104,000 - 173,000; Full time

Job summary

Liquidnet, a leader in next‑generation agency execution, seeks a Quantitative Trading Strategy developer to join the Global Trading Technology team in New York. The role focuses on building high‑performance trading platforms and customizable strategies with quants, product and sales partners.

The ideal candidate has 3–5 years’ experience in low latency trading and a solid background in Java and Linux, with strong design patterns and back‑testing capabilities.

Qualifications

• BS/BA degree or higher in Computer Science, Mathematics, or related Engineering field.
• 3–5 years’ experience developing low latency trading strategies in Equities, Futures or Listed Derivatives.
• Proven track record in designing, developing, and implementing trading strategies such as benchmark tracking, liquidity seeking and dark aggregation algorithms.

Responsibilities

• Design, build and maintain Liquidnet’s Next Generation Global Algorithmic Trading platform including low latency strategies and infrastructure components.
• Collaborate with Quants on implementation of trading algorithms, models, and signals.
• Work with Product and Sales on client requests and algo customizations.
• Develop innovative solutions in a strategic, pragmatic way.
• Succeed in a collaborative development environment.
• Stay curious about industry trends and pursue continuous improvement.

Skills

Java

Linux

OO Design

Low Latency

Trading Systems

Team Collaboration

Education

BS/BA in CS, Math, or related field

Job description

Liquidnet, a leader in next‑generation agency execution, seeks a Quantitative Trading Strategy developer to join the Global Trading Technology team in New York. The role focuses on building high‑performance trading platforms and customizable strategies with quants, product and sales partners.

The ideal candidate has 3–5 years’ experience in low latency trading and a solid background in Java and Linux, with strong design patterns and back‑testing capabilities.