Partner at Symphoni HR
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VP/ED - Quantitative Research Team - Machine Learning/eTrading Quant - Bank (10-20 yrs)
Our Client - A Leading Global Bank is looking for a VP/ED for their Quantitative Research team. The role is tasked with partnering with desk-aligned quants globally to scrutinize, develop, and enhance electronic trading or machine learning models, as well as ensuring the models adhere to internal and external regulatory standards.
Analyzing as well as developing mathematical models, time-series forecasting, predictive modelling, cluster analysis, dimensionality reduction, and recommender systems. Overseeing the ongoing performance of deployed models through reactive and proactive support, monitoring, and reporting
The candidate should have 10+years of relevant experience.
- Masters, PhD, or equivalent degree program in a Quantitative Field
- Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools
- Prior experience in Big Data, microstructure research, or developing execution strategies or short term price prediction models
- Programming experience with one or more of Python, R, Matlab, Tensorflow, optionally C++