lituuslabs

financial innovation via mathematical research

Development, implementation and application of cutting edge quantitative finance methodologies.

The intricacies and inherent interconnected nature of modern financial markets lead to the emergence of a wide set of complex phenomena, hard to grasp and make sense of by use of traditional tools and theories in classical mathematical finance. At lituuslabs we seek to approach this complexity head on rather than shy away from it. We believe that there's ample opportunity in employing an empirical, data-focused approach to quantitative financial research and quantitative algorithmic trading. Not unlike other mathematically heavy directions, we believe and aim to apply a scientific approach to areas such as alpha identification, signal extraction, risk assessment and others. Our team currently consists of experts in diverse fields of applied and abstract mathematics such as topological data analysis, big data, signals processing on graphs and lattices, graph neural networks, information theoretic learning. Looking for a lab-like work environment? Drop us a line info [at] lituuslabs [dot] com