Description

You will join a small, prestigious mid-frequency systematic quant team at a highly successful proprietary trading firm. You will take ownership of the full lifecycle of creating market leading systematic trading strategies. This will consist of researching alpha signals, building state of the art machine learning models and implementation of strategies which will directly impact the desk's PnL.

You should have at least 2 years of experience working within finance, preferably in a buy side company, working on alpha research and signal generation. Experience in Machine learning modelling would be a bonus and knowledge of the global macro market would be desirable.

Key Skills:

• Quantitative experience in a Global Macro team
• A PhD or master's degree in a relevant quantitative field such as maths, physics, computer science or engineering from a Russel group university or equivalent
• Proficiency in Python programming using the Machine learning stack; numpy, pandas, scikit-learn etc.
• Solid analytical and problem-solving skills.