Key Responsibilities
Design and develop innovative quantitative trading strategies Analyze complex datasets across multiple time horizons to identify profitable patterns Implement signals and integrate datasets within a global execution platform Monitor and optimize signal performance and model behaviour Drive the full research cycle from conception to implementation
Required Qualifications
Advanced degree in a quantitative discipline (Mathematics, Physics, Statistics, Engineering, or related field) Proficiency in at least one major programming language (Python, R, Matlab, C++, or C#) Proven track record in developing successful systematic strategies -
must be from a systematic/ algo/ HFT trading background Excellent communication skills with ability to work across global teams
Desired Skills
Experience in machine learning, NLP, or AI techniques Background in analyzing large-scale datasets across multiple timeframes McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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