Tibidabo.tech

We have architected and delivered solutions ranging from advanced portfolio management tools to novel systematic investment management approaches. We perform research using our toolkits and partner with domain experts to provide targeted research, proofs of concept, and advisory around asset allocation, risk management, and macroeconomic scenario analyses. Coupled with new techniques in Machine Learning and Artificial Intelligence, we believe that models and solutions can be creatively assembled to answer to some of the most pressing challenges in modern finance related to allocation, risk, and signals extraction. Mainstream IT infrastructure built for quantitative finance often do not have the requisite performance to drive the most interesting analysts. We believe the the use of a modern computing stack, made scalable through parallelization and accelerated by GPUs can push computational finance to the next level of sophistication. There is a skills gap between the mainstream IT systems professionals in Finance and the specialists focused around modern computing infrastructure implementation. We believe that one of the failings of many financial software is their inadequacy in human-minded design. The interface is important to not only provide a user experience comparable to that of the consumer web applications, but also to accurately represent data, communicate insights, and allow decision making.