Company

EfinancialcareersSee more

addressAddressSouth East
type Form of workPermanent, full-time
salary SalaryCompetitive salary
CategoryHuman Resources

Job description

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent prospects for career growth.
As a key member of the development team, you will be working closely with quant analysts/developers, traders and operations staff to build and enhance low-latency algorithmic trading strategies. You'll collaborate over the design and implementation of cutting-edge systems, covering all aspects of the trading strategies: from exchange price feeds and financial indicators, to back testing & tick data management, through to production environment support.
The successful candidate will be a self-starter with excellent communication skills, good understanding of user requirements, with knowledge of market data feed handlers and execution gateways highly desirable.
Requirements
  • 5+ years' experience in low-latency Linux development using C/C++, STL, Boost
  • Bachelors or Masters degree from a top-tier university in Computer Science, Maths, Engineering or related field
  • Solid experience in design and implementation of multithreaded and distributed systems
  • Strong knowledge of distributed network architecture

Note: Please do not apply if you are a fresh graduate.
Desirable Skills/Experience
  • Familiarity with low-level optimization techniques on x86/64 platform and/or Linux/GCC toolchain and Linux Red Hat
  • Front office desk-aligned experience

Benefits
  • Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
  • Competitive salary + generous benefits
  • Professional and personal development
  • Relaxed, casual culture, with a healthy work-life balance

Contact
If you feel you are a good match, please don't hesitate to get in touch:
Madeleine Mamak
in/madeleine-mamak-a06490221
Refer code: 2999874. Efinancialcareers - The previous day - 2024-03-15 12:32

Efinancialcareers

South East

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