迈克尔Leibrock, Managing Director, Credit and Systemic Risk, Jersey City
迈克尔Leibrock is a Managing Director in 存’s Financial and Operational Risk Management division, with primary responsibility for counterparty credit risk and systemic risk. He is responsible for the analysis, approval and ongoing credit surveillance for all members of 存’s clearing agencies. Michael is also responsible for the identification and monitoring of potential systemic threats to 存 and the securities industry, actively engaging with 存 clients and regulators on systemic risk topics and producing periodic thought leadership products. Michael also serves as chair of 存’s Model Risk Governance Committee, co-chair of the Systemic Risk Council and is a member of the Management Risk Committee and Risk Advisory Council.
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Additional SRO Team Members
Scott Kaufman, Director, Systemic Risk Office, Jersey City | [email protected]
Noor Ibrahim, Associate Director, Systemic Risk Office, Dallas | [email protected]
Anabella Prila, Senior Associate, Systemic Risk Office, Manila | [email protected]
Matthew McLean, Senior Associate, Systemic Risk Office, Tampa | [email protected]
Daniel Ashworth, Analyst, Systemic Risk Office, Tampa | [email protected]
2024 Risk Forecast Survey Infographic
2023 Risk Forecast Survey Infographic
2022 Risk Forecast Survey Infographic and Press Release
2021 Risk Forecast Survey Infographic and Press Release
2020 Risk Forecast Survey Infographic and Press Release
2019 Risk Forecast Survey Infographic and Press Release
2018 Risk Forecast Survey Infographic and Press Release
存 serves a critical role in the complex financial services industry, processing trillions of dollars of securities transactions daily. At 存, data is central to everything we do as an organization. Responsibility for data management is federated throughout the business
Data management continues to be a critical component to our risk management framework, applying industry best practices in data governance, data quality and metadata management to the most critical data used in aggregating risk exposures.