Ryan is an Audit & Assurance principal with more than 15 years of management consulting experience, specializing in strategic advisory to global financial institutions focusing on banking and capital markets. Ryan co-leads Deloitte's Artificial Intelligence & Algorithmic practice which is dedicated to advising clients in developing and deploying responsible AI including risk frameworks, governance, and controls related to Artificial Intelligence (“AI”) and advanced algorithms. Ryan also serves as deputy leader of Deloitte's Valuation & Analytics practice, a global network of seasoned industry professionals with experience encompassing a wide range of traded financial instruments, data analytics and modeling. In his role, Ryan leads Deloitte's Omnia DNAV Derivatives technologies, which incorporate automation, machine learning, and large datasets. Ryan previously served as a leader in Deloitte’s Model Risk Management (“MRM”) practice and has extensive experience providing a wide range of model risk management services to financial services institutions, including model development, model validation, technology, and quantitative risk management. He specializes in quantitative advisory focusing on various asset class and risk domains such as AI and algorithmic risk, model risk management, liquidity risk, interest rate risk, market risk and credit risk. He serves his clients as a trusted service provider to the CEO, CFO, and CRO in solving problems related to risk management and financial risk management issues. Additionally, Ryan has worked with several of the top 10 US financial institutions leading quantitative teams that address complex risk management programs, typically involving process reengineering. Ryan also leads Deloitte’s initiatives focusing on ModelOps and cloud-based solutions, driving automation and efficiency within the model / algorithm lifecycle. Ryan received a BA in Computer Science and a BA in Mathematics & Economics from Lafayette College.