ATS C++ Developer #105736

  • Competitive
  • Hong Kong
  • Permanent, Full time
  • Credit Suisse Asia
  • 15 Dec 17 2017-12-15

ATS C++ Developer #105736

We Offer
You will join the front office development team working for the leading equities and solutions franchise in the APAC region.

Role Summary:

This position is a hands-on C++/Quantitative developer role for the Advanced Trading Systems (ATS) team based in Hong Kong. Our team develops front-to-back electronic trading systems used by multiple equity business lines including Delta 1 trading strategies, warrants and options market making and more recently execution and inventory optimization solutions for all the principal flows. This role is specifically to drive the Central Risk Book (CRB)/optimization solutions.

This is a Greenfield project to build high performance optimization components working with a small group of traders, quants and technologists.

Role Responsibility:

  • Drive the CRB technology delivery
  • Design and develop high performance C++ systems
  • Be willing and able to adapt to changes in priorities
  • Ability to learn and apply new technologies to deliver added business value
  • Maintain a solid focus on quality
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You Offer
Essential:
  • You are proficient in C++ and development in Linux environment.
  • You possess experience developing low latency software.
  • Yo have attention to detail and code quality.
  • An open mind and the ability to learn, teach and adapt quickly.
  • You have excellent problem solving skills and analytical skills in a high-pressure environment.
  • You have good communication skills and an ability to convey ideas and concepts with clarity.
  • You are fluent written and spoken English.
Desirable:
  • You should have experience delivering "Central Risk Book" projects.
  • You have deep understanding of application architecture and design.
  • You have experience developing high performance matching engines or high frequency trading strategies.
  • You possess familiarity with KDB/Q.
  • Develop statistical arbitrage and portfolio optimization models
  • Research high frequency trading dynamics and/or intraday alphas.