eTrading Algo Engineer
il y a 3 ans

At HSBC, the health and well-being of our employees remains of utmost importance.  Many of our roles are permitted to work from home (in states in which HSBC is licensed to operate) until further notice. Upon resumption of normal operations, this role may be performed at our New York, New York office.

FI eTrading Technology solve some of the most interesting and complex challenges in the financial industry to help our global business and its customers succeed. Shipping code early and often using Agile and DevOps principles is critical for us to deliver business value, with continuous improvement and learning at the center of everything we do.

We are motivated by challenging each other to push the boundaries of financial and technological innovation, in an open, inclusive, and diverse environment. We are looking for the brightest and best developers to take our capability forward.

 

  • The FI Algorithmic Trading Technology team runs the execution stack for FI Rates & Credit Trading Desks using proprietary and vendor trading systems.

  • The team develops and maintains its own Algorithmic Trading Container, View Server and HTML5 based UI and Internalization Engine. It also has a dedicated infrastructure team for managing its off-campus hardware estate.

  • Working as part of the front office team the candidate should be a Java expert and have a detailed working knowledge of the Java and the JVM (Java Virtual Machine), garbage collection, data structures. The current projects are written in Java or Scala, so the candidates would have to be willing to learn Scala.

  • It is also expected for the candidate work on production support issues (via a rota) and be involved in improvements on automation and dev ops.

  • Building low latency processes, algorithms. Dev ops and production support

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    • Zero GC architectures

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    • Low latency systems

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    • FI trading

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    • Algorithmic trading, FIX, etc.

The team spans the 3 main trading hubs (New York, London, Hong Kong), with team members in five locations (Hong Kong, New York, London, Paris and Pune).

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