
Structured Products Trader, ABS
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Job overview
The Structured Products Trader will generate, underwrite, execute, and monitor investment ideas across structured credit products, including RMBS, consumer ABS, whole-business securitizations, and aviation finance. The role manages portfolio exposures across funds, executes strategies involving asset sourcing and monetization, maintains derivative hedges, and uses analytics and data pipelines to support investment decisions. It also develops sell-side relationships to source trades and liquidity across public and private markets.
Skills & qualifications
Skills
Qualifications
Full job description
Generate, underwrite, execute, and monitor investment ideas across structured credit products, including Residential Mortgage-Backed Securities (RMBS), consumer Asset-Backed Securities (ABS), whole-business securitizations, aviation finance. Manage portfolio exposures across multiple funds. Lead and execute high-impact strategies, including sourcing, negotiating with lessors, and monetizing assets directly in the market. Maintain and implement derivative hedging strategies, conduct ongoing surveillance of portfolio positions, and leverage advanced analytics, machine learning models, and structured data pipelines to enhance investment precision. Develop and maintain an extensive sell-side network to source trades and liquidity, ensuring effective execution and market access across public and private markets. Requirements: Masters degree in Finance, Mathematics, or a related field of study, plus five (5) years of experience trading structured products at a buy-side firm; managing securitized products portfolios and executing investments across a range of structured credit assets, including loans, bonds and residuals; generating investment ideas, underwriting opportunities, conducting surveillance and executing trades within both public and private markets; developing and maintaining derivative hedging strategies across rates, equities and credit; conducting granular consumer credit analysis; pricing securitized products using the Intex cashflow modeling tool; building analytics to track performance and surveillance programmatically using Python and SQL; database management of a securitized products database, including Loan Performance; modeling defaults and prepayments of granular consumer portfolios; underwriting complex deal documents to evaluate covenants and legal strategies; negotiating private transactions in the Asset-Backed space; securitization domain knowledge and interaction with stakeholders, including lawyers, bankers, and trustees; cashflow modeling of bespoke private transactions; Python programming for financial modeling; scenario analysis of non-agency mortgage cash flows; structured credit portfolio valuation using Intex software; database management of mortgage-specific datasets; and, balance sheet risk analysis for financial institutions. Alternatively, the employer will accept a Bachelors degree in Finance, Mathematics, or a related field of study, plus seven (7) years of experience trading structured products at a buy-side firm; managing securitized products portfolios and executing investments across a range of structured credit assets, including loans, bonds and residuals; generating investment ideas, underwriting opportunities, conducting surveillance and executing trades within both public and private markets; developing and maintaining derivative hedging strategies across rates, equities and credit; conducting granular consumer credit analysis; pricing securitized products using the Intex cashflow modeling tool; building analytics to track performance and surveillance programmatically using Python and SQL; database management of a securitized products database, including Loan Performance; modeling defaults and prepayments of granular consumer portfolios; underwriting complex deal documents to evaluate covenants and legal strategies; negotiating private transactions in the Asset-Backed space; securitization domain knowledge and interaction with stakeholders, including lawyers, bankers, and trustees; cashflow modeling of bespoke private transactions; Python programming for financial modeling; scenario analysis of non-agency mortgage cash flows; structured credit portfolio valuation using Intex software; database management of mortgage-specific datasets; and, balance sheet risk analysis for financial institutions. Applicants may submit a resume by mail to D. E. Shaw & Co., L.P., Two Manhattan West, 375 Ninth Avenue, 52nd Floor, New York, NY 10001, or by email: [email protected]
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