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2+ years EPS Liquidity Risk/ALM/Treasury experience gained within a bank, regulatory agency or swap/broker dealer. Risk Analysts support the development and implementation of Operational Risk , Model Risk , Liquidity Risk, and Credit Risk governance framework s for the Combined U.S. Operations (CUSO) and oversees operational risk for the subsidiaries, in accordance with US Regulations, Home Office policies and industry practices for Risk Management.
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5+ years of experience in risk management, with significant expertise in digital assets, market risk, and a deep understanding of the DeFi space, within a hedge fund, investment bank, or related financial institution.
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Assist the team in portfolio risk management/monitoring. Participate in client management, attend industry conferences, work with external capital/syndication risk partners.
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Experience in regulatory reporting in liquidity risk management, stress testing and other relevant compliance requirements (e.g., SR11-7) a plus. Liquidity Reporting production is responsible for producing, reconciling and distributing Daily/Weekly/Monthly liquidity reports to SG's ALM and RISK teams as well as senior management and regulators.
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This highly visible Director role is a senior management position that will work closely with peers within USPB Risk CAO organization and Wealth CRO, 1st & 2nd lines of defense (LOD) senior risk managers, Wealth Business Development and Product Heads and specialized subject matter experts (SMEs) in Enterprise Risk Management (ERM), Counterparty Credit Risk (CCR), Wholesale Credit Risk (WCR), and Retail Credit Risk Management (RCR) and related Technology partners throughout Citi.
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TRM is independent from the revenue generating divisions of the firm and reports to the firm's Chief Risk Officer and Global Head of TRM. The regional TRM function is responsible for market risk management and product control of trading books as well as counterparty credit risk management.
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5-10 years of experience in the financial institution with a majority of experience in credit risk management or financial planning and analysis, preferably in the Delinquency Managed (DM) space.
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Undergraduate or Master degree in Business, Accounting, Finance, Statistic, Mathematics, or Risk Management. Collaborate closely with SPG's deal team and other MUFG support groups including Middle and Back Office, Legal, Compliance, Technology, Risk Management, and Finance to achieve business objectives.
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Manage the implementation of standards and procedures that conform to enterprise requirements and support sound model risk management. Actively facilitate timely stakeholder responses for Model Risk Management activities.
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The Associate Director, Senior Quantitative Analyst is a critical member of the model validation team within the Model Risk Management (MRM) Responsibilities range in activities including risk governance and reporting, model inventory, model validation and model performance oversight.
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Broad expertise in quantitative finance on valuation models (curve building methodologies, term structure models, option models, credit models), and risk management models and methodologies (Greeks, VaR, back testing, stress testing.
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Provide expert guidance and training to stakeholders on insider risk management best practices and the utilization of Proofpoint ObserveIT. Stay abreast of the latest insider risk trends, technologies, and regulatory changes to continuously enhance the institution's insider risk posture.
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The primary role of the Senior Mortgage Banker is to originate long-term, multifamily and commercial real estate loans on behalf of KeyBank's investors including Fannie Mae, Freddie Mac, FHA, Affordable Housing, CMBS Partners, Debt Funds and Life Companies.
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The Capital & Investment Risk Management (C&IR) team within Enterprise Risk Management (ERM) is looking for a Quantitative Risk Analyst to support business initiatives in a highly collaborative environment.
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Strategy and Major Initiatives are responsible for the planning and delivery of a coherent model risk management framework and infrastructure across GRA. These efforts include the development of one universal platform for seamless model development and implementation, and improvements to the quality and consistency of the data sourced for all development and production purposes.
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