Turn-key advice on complex financial disputes
Devon Capital is an established specialist financial advisory firm, based in London and New York. Our personnel are senior professionals drawn from the financial industry - traders, bankers, lawyers and data experts from top tier firms. This gives Devon comprehensive insight into how financial institutions work. We have unique depth of experience from handling over twenty complex financial disputes since 2000 across structured credit, rates, FX, equities, swaps and fund unwinds. All of Devon’s engagements have involved aspects of forensic investigation related to financial crime or civil fraud.
Devon have created a discovery process, based on our proprietary e-Discovery platform, designed specifically for complex financial fraud. Notably we can extract financial information from any data format, rebuild email threads to assess management involvement, build organograms and track periodic management reporting. Our process reduces the volume to be reviewed by intelligently filtering out extraneous documents using machine learning techniques, guided by analyst review. This approach allows us to efficiently and cost effectively process the massive document productions involved in complex financial disputes. Uniquely Devon uses experienced financial analysts for review. Having our own platform allows us to tailor the functionality and deployment to the requirements of a particular matters and asset classes.
Devon’s extensive in-house valuation skills and capabilities support dispute assessments as well as providing support to third party valuation specialists. We can value any complex financial instrument or derivative and have thoroughgoing experience reverse engineering probability of default and expected loss on credit-linked products such as CDOs and RMBS. Our reports deliver even complex technical results with clear and concise explanations intended for non-specialists. Over the course of our assignments we have compared and analyzed ratings agency models with banks internal models to highlight discrepancies in valuations.