Alternatively, the employer will accept a Bachelor's 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. The successful candidate will have a Master's 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.