Low-Latency Quant Trading Engineer

670 TP ICAP Americas Holdings Inc.

New York (NY)

Hybrid

USD 140,000 - 173,000

Full time

4 days ago
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Job summary

Liquidnet, part of TP ICAP, is seeking an exceptional Quantitative Trading Strategy developer to join the Global Trading Technology team in New York. You will design, build, and maintain the Next Generation Global Algorithmic Trading platform, delivering low-latency trading strategies and key infrastructure components.

You will work with Quants, Product, and Sales to implement algorithms, back-test strategies, and optimize performance in a collaborative, agile environment.

Qualifications

  • BS/BA in Computer Science, Mathematics, or related Engineering
  • 3-5 years’ experience developing low latency trading strategies in Equities, Futures or Listed Derivatives
  • Strong knowledge of lit and dark market micro-structure, order types, liquidity, market data and regulatory matters (Reg NMS, ISO orders, MiFID II, dark pools) in US/global markets

Responsibilities

  • Design, build and maintain Liquidnet’s Next Generation Global Algorithmic Trading platform with low latency trading strategies
  • Collaborate with Quants on implementation of trading algorithms, models, and signals
  • Work with Product and Sales on client requests and algo customizations
  • Develop innovative, pragmatic solutions and continuously improve in a team environment

Skills

Low latency trading
Quantitative strategies
Java
Linux
OO design
Back-testing
Team collaboration
Agile methodologies

Education

BS/BA in Computer Science, Mathematics, or related Engineering

Tools

Solace
29West

Job description

Liquidnet, part of TP ICAP, is seeking an exceptional Quantitative Trading Strategy developer to join the Global Trading Technology team in New York. You will design, build, and maintain the Next Generation Global Algorithmic Trading platform, delivering low-latency trading strategies and key infrastructure components.

You will work with Quants, Product, and Sales to implement algorithms, back-test strategies, and optimize performance in a collaborative, agile environment.

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