Role:-

You will join a small, prestigious mid-frequency systematic quant team . 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 .

Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which will be deployed to the investment process.

Requirements:-

You should have at least 3 years of experience working within finance, preferably in a buy side company, working on alpha research and signal generation working with strategies with a holding period of minutes to hours/ intraday.

Product experience in any asset class will be considered.

Prior exposure to medium-frequency or daily/intraday trading strategies in North America, Europe or Asia would be highly relevant.

Strong grasp on end-to-end strategy development

Proven success developing strategies in the HFT or Intraday space

Masters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related field

This firm believes in a work life balance so candidates who are passionate about quant trading and also happy to maintain a work life balance and an ethos of working in a collaborative environment should apply.