Risk Management

Increasingly, complex algorithms and machine learning-based systems are being used to achieve business goals, accelerate performance, and create differentiation

Trading in financial markets inherently involves the risk that the model being used for trading is false, incomplete, or is no longer valid. This area is generally known as model risk management. Machine learning is particularly suited to stress testing market models to determine inadvertent or emerging risk in trading behaviour. Talk to us about how we are harnessing the power of complex algorithms while managing the accompanying risks with a robust algorithmic risk management