As a quantitative researcher you will be responsible for developing automated quant trading strategies using sophisticated statistical techniques. The role will entail the leadership and management of statistical modelling projects as part of our research programme and, in time, responsibility for a significant theme of work within it. We are looking for individuals who are enthusiastic about taking a hands-on approach and collaborating with top technical talent in a collegial, meritocratic work environment characterised by teamwork and intellectual rigor.
Winton is a research-based investment management company with a single-minded focus on statistical and mathematical inference in financial markets. Founded in 1997 by CEO David Harding, the firm manages approximately $20 billion of assets for many of the world’s largest pension funds, sovereign wealth funds, banks and fund platforms.
The global financial markets are the world’s most highly evolved computational process, receiving a continual deluge of inputs, synthesising them into a huge matrix of fluctuating securities prices, and retransmitting the signals back, nearly instantaneously, to every corner of the planet.
We use technology and mathematics to investigate this process and to uncover abstract patterns and order that can be used to forecast the probability distribution of outcomes within it. We then develop and implement algorithms designed to profit from this order, to help invest and grow the money people are saving for their future.