Global Banking & Markets – Dallas - Vice President, Loan Management & Due Diligence -8886863 en Goldman Sachs (Asset & Wealth Management)

Job Duties: Vice President, Loan Management & Due Diligence with Goldman Sachs & Co. LLC in Dallas, Texas. Work with the trading desk on various stages of potential non-performing, re-performing loan and new originations bids (NPL/RPL/ New Origination), normalize and load loan level data into internal databases, analyze and stratify pools, determine appropriate modeling assumptions, run analytics and produce bid packets and investment committee memos. Interact with the Mortgage Banking team on deal securitizations to produce analytics, schedules for the governing documents, accurate loan level data, and work with transaction managers on diligence items. Work with the desk on monthly marking of residential mortgage warehouse positions. Collaborate with transaction managers and due diligence teams to ensure all post-bid activities data related to final settlement of awarded bids are accurately reflected in the systems. Provide thoughtful monthly quantitative analysis on the key drivers of portfolio performance and recommend actionable strategies to asset managers and the trading desk. Produce detailed monthly reports on P&L, returns, cash flows and collateral performance of the loan portfolio across multiple portfolios. Conduct a periodic model back-testing on the existing portfolio and recommend modeling assumptions adjustments to the trading desk. Collaborate across internal teams (Data Management, Operations, Technology, and Modeling) to ensure the quality of data, accurate cash processing, and validate modeling assumptions.

Job Requirements: Bachelor’s degree (U.S. or foreign equivalent) in Finance, Accounting, Business Administration, Mathematics, Engineering, or a related field and five (5) years of experience in the job offered or in a related role. Prior experience must include five (5) years of experience with: interacting with multiple stakeholders across different parts of the business, and effectively managing priorities and updates with stakeholders; analyzing data, assessing data quality, synthesizing recommendations and initiating actions based on the data analysis that will influence the quality and efficiency of the business; performing structured data management and governance, including effective data transformation processes and efficient data modelling principles; and utilizing data extraction and analysis tools including SQL, Python and Alteryx, and data visualization and reporting tools including Tableau.

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