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Funding10M-20M USD
Employees6
SalaryShhhh...
FulltimeYes
TelecommuteNo
IndustryFinancial Services
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C++ Software Engineer - High Frequency Trading / Algorithmic Trading

at Circulum Vite LLC in Jersey City, NJ   —   Jul 14, 2014   |  
Overview
The High Frequency team is responsible for writing C++ software for Market Data and OrderRouting to the exchanges on which CV trades, and the trading strategies for the same.
The software would have very high performance and availability requirements.
Responsibilities
· Design, develop, support and maintain software connections to the exchanges
· Design, study and improve trading strategy implementations
· Work closely with the business to develop an understanding of the exchanges and market data
· Route orders, download market data and manage interactions with external applications
· Use low-level C++, clean coding principles and object-oriented design
· Participate in design and code reviews, create and perform automated unit and functional tests, and solve production problems in a team-oriented environment
· Order routing protocols
· Constantly try to improve our software
Experience
· Low-level C++ skills and experience in Linux preferred
· If you are the sort of guy who is awesome at Programming Contests, Chess / Poker, Puzzles, Maths
Skills
· Low-level C++ skills and experience in Linux preferred
· Strong C level skills
· Understanding of exchanges' software
· Strong understanding of Computer Science principles and concepts including algorithms, data structures, multiprocessing, object oriented design patterns, and clean coding principles
· Strong understanding of machine and operating system architecture
· Strong interest in working in a proprietary trading firm and the ability to interact effectively with traders
· Ability to meet deadlines in a fast paced and entrepreneurial environment
Education
BS/MS in Computer Science or related degree preferred for IITs or top 10 US Engineering colleges
Compensation
Very aggressive and tremendous long term growth potential. Flexible based on strength of candidate.
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