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Senior Quant Researcher

Company:
Matthew Hoyle Financial Markets
Location:
Central and Western District, Hong Kong
Posted:
November 03, 2019

Description:

Senior Quant Researcher (High Frequency Delta1)

Responsibilities and Duties

Process and analyse large datasets to detect hidden signals and patterns in order to predict future events

Perform quantitative analysis and modelling on the market to improve current trading strategies and develop new ones

Take an idea from inception, through to detailed research, coding, and testing, and ultimately to production release

Work independently yet closely with traders and IT staff

What you offer

Masters or PhD in a quantitative discipline e.g. Statistics, Physics, Mathematics, Signal Processing, Machine Learning, etc

5+ years experience in analyzing real world data in a first class research environment.

Exposure to a variety of datasets would be an advantage. Experience in using machine learning to forecast sequence or time series data preferred

3+ years of financial markets experience working directly with trading desks

Experience in high frequency Delta 1 trading, in equities or futures, preferred

Experience working with low latency, real time systems preferred

Very strong skills in writing production code in an OO programming language (prefer C++), and a statistical language (prefer Python), with understanding of software development workflows required