Machine Learning and AI We have been at the forefront of applied ML techniques since our first genetic algorithm engine went live in 2003. We build ML platforms for a range of situations where they can dramatically improve the efficacy of computational and manual processes. Popular applications are data quality management, simulations, calibration, optimisation, scenario and risk factor generation. Real value is derived when we collaboratively brainstorm with you to imagine futures uses for emerging technologies. One such example is integrated chat and structured trading using NLP.... another is using NLG to summarise vast swathes of financial reports in summary texts. We build pre-production prototypes to test innovative concepts in practice, creating buy-in with internal and external stakeholders alike - in this field it often takes a multiple socialisations to gain a broad acceptance. In 2020 we published ground-breaking developments that pave the way for the use of neural networks for modelling purposes, where regulators and clients need to be confident of explaining the model’s decisions. Our approach to building AI, refined over many years, allows clients to progressively build confidence and create buy-in to the applications of this technology. Research You may wish to read some of the following Machine Learning and AI articles by Riskcare: How can we help? If there is any way in which your technology platforms can be improved, then we will be delighted to discuss your options with you..... Contact Us Research Our research aims to develop practical insights to common but poorly solved industry problems.... Read more Careers Do you want to use your creativity and your technical expertise to improve the capital markets? Read more

Expertise We undertake projects spanning a broad range of complex engineering challenges, always enhancing your platforms with as much of our expertise as possible. You own and live with your technology, but by letting us influence your direction we will maximise the value you extract from it, which implies that the TCO is something we factor in to our advice. Cloud Engineering READ MORE Quantitative and Algorithmic Financial Engineering READ MORE Visualised Digital Strategy READ MORE Machine Learning and AI READ MORE Business Process Engineering and Data Organisation READ MORE Technology Re-Platforming READ MORE Data Science READ MORE Digital Ledger READ MORE