Job Description:
Design, develop, analyze and implement advanced cutting edge distributed automated trading systems - demanding extreme throughput and latency optimization.
Take part in the full life cycle development of data engineering analytics, in a complex, research environment, while contributing directly to our dynamic, operational flows (CI/CD).
Work with quants to build scalable infrastructures and develop algorithms for modeling the financial market.
Build tools and simulators for exploring market opportunities and analyzing the competitive landscape.
Study and exploit bit level considerations to optimize throughput and latency of cross hardware and software components.
Manage and monitor an on-premise cluster and our cloud based environment, where we execute data demanding pipelines.
Job Qualifications:
Cum laude BSc. in Mathematics, Physics, Computer Science or Electrical Engineering from a well-known academic institute.
Strong knowledge and experience developing scalable systems, preferably in C++
Experience in design & development of large scale enterprise systems - advantage
Experience in the areas of latency, high-throughput network programming - advantage
Passion for big data and data-driven decision making
A deep sense of intellectual curiosity and excellence
Independent, thorough, motivated, and innovative