Quantitative Trader

My client is a renowned prop firm operating in the HFT and intraday trading space, with teams set up globally. The firm is currently looking for Quantitative Traders, particularly those covering short-term Futures or Equities strategies, who can build or join a desk and trade their own strategies in return for a % of their PnL.
The firm can offer exceptional resources including market and alternative datasets, monetization support, and exceptional execution infrastructure, allowing strategies to cover low-latency and intraday time horizons, while maintaining low costs and a quick time to market.
The Role:
Building/joining a desk where you will research and trade alphas based on analysis of market or alternative data.
Monetizing signals, monitoring performance of trades and optimising where possible.
Creating quantitative tools to aid the strategy development process, such as execution algorithms, modelling libraries, etc. for the rest of your trading team to use.
Requirements:
A degree from a prestigious university in a numerate field. Previous successful candidates have degrees in Engineering, Physics, Mathematics, Computer Science, etc.
Coding proficiency in at least one language, such as C++ or Python.
At least three years of experience as a Quantitative Researcher/Trader, where you used sophisticated quant methods for the research and optimisation of strategies.
You will need to be a confident, resilient, and highly motivated individual, capable of working collaboratively with your colleagues in your office and in other locations.