Equity Quantitative Researcher/Trader

Selby Jennings

Birmingham

1 year ago

Applications closed

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Responsibilities

Design and develop of high-performance C++ components used by trading applications
Research and implement quantitative strategies including alpha research and trading strategies
Develop profitable High-Frequency Trading models by applying large scale statistical analysis and other relevant techniques to market data and other relevant data sources.
Conceptualize valuation strategies, develop and continuously improve mathematical models, and translate algorithms into highly performant C++ code
Back test, implement, and productionize fast C++ trading models and signals in a live trading environment

Ideal Qualifications

Hands on experience in the full life cycle of strategy development research, including idea creation; data collection/cleansing; analysis; testing; and deployment
Proficient in with C++. Experience in C++11 a plus. Proficient with scripting languages such as Python, R, and shell. Familiar with the Linux platform.
Proven success with profitable High-Frequency Futures or Equities trading strategies
Experience with numerical analysis (e.g., regression, optimization) and machine learning is a big plus

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