Global Valuation
Martin Lamb is an accomplished technology leader with extensive experience in financial services and engineering. Currently serving as Data CIO at LPL Financial since September 2021, Martin Lamb drives the transition to an event-driven architecture on the AWS Cloud and Snowflake while redesigning data processing with a new Enterprise Data Model. As CEO of Global Valuation Ltd since May 2020, Martin Lamb develops innovative XVA risk portfolio engines that apply Tensor Algebra mathematics to disrupt traditional quantitative methods. Previous roles include Group Finance CIO at Morgan Stanley and Treasury CIO at Deutsche Bank, where Martin Lamb focused on key financial regulations and risk management. Martin Lamb began a career in structural engineering, holding the position of Chief Architect at Saipem before transitioning to financial technology. With a degree in Civil Engineering from Imperial College London, Martin Lamb combines technical and strategic expertise across various sectors.
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Global Valuation
At Global Valuation, we believe in making risk and pricing analytics accessible, easy to use, and fast to compute. Our Esther Compiler and Solver combination is the result of years of research and development, and has been tested and deployed in various areas, including large scale, legal entity-level XVA and margining calculations, model risk, reverse stress testing, and wrong-way-risk. With Esther, quant developers can quickly and easily design and deploy risk and pricing analytics for any use case, and easily integrate them into their existing enterprise solutions and Large Language Model analytics. We are excited to offer this innovative package to our customers. Global Valuation is a software company focused on developing and supporting its products. Our strategy is to empower both Financial Services firms and partner companies (such as Independent Software Vendors and Professional Services firms) to integrate Esther with their own solutions. The Esther platform is built as an accelerator for internal teams to build new, better analytics, fast.