01
Quantitative research
Investment management grounded in science. We use a range of quantitative methods, from robust statistical processes to deep neural networks, to develop and optimise investment techniques.
Our research combines systematic analysis with rigorous testing of market behaviour, seeking to identify stable sources of return and understand their performance across different market environments.
02
Integrated risk management
Comprehensive risk management from trade inception to exit.
Our three-layer approach combines embedded risk quantification within alpha signals, independent risk measurement and simulation, and live market modelling to continuously identify, quantify and manage risks throughout the life of each trade, as well as at portfolio level.
03
Trade structuring and execution
Quantitative trade construction and selection with discretionary oversight and implementation.
We seek to translate investment signals into efficiently structured trades, taking account of expected return, risk, liquidity and prevailing market conditions. Discretionary oversight provides an additional layer of judgement to ensure disciplined implementation and effective risk management.