Quant Researcher
## Responsibilities:
Design and implement predictive quantitative trading market making as well as taking models.
Apply statistical techniques to develop short-term signals, with a time horizon from milliseconds to a few minutes.
Lead research efforts to improve signals and optimise parameters through back testing, across a wide range of trading products and technologies
Proactively identify market microstructure patterns and trading opportunities by analysing vast quantities of tick level historical market data across many markets
Run simulations and model market for both liquid and illiquid assets
Improve and maintain supporting infrastructure in Python or C++.
## Hard Skills requirements:
Quantitative degree in Mathematics, Statistics, Computer Science, Physics or related qualitative field. Post-graduate degrees may be a plus, but not expected or required.
Experience in market making, including signal design and HFT strategy development. We are also open to candidates with experience in MFT strategies.
Advanced Python coding skills. High-level understanding of C++ is a plus.
Other analytical tools and languages may be a plus
Experience and advanced knowledge of statistics/machine learning/probability theory.
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