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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.
Role:
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
Requirements:
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++
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