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Structured Credit/Structured Lending Portfolio Associate

LHH, Atlanta, Georgia, United States, 30383

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Overview We are conducting a confidential search on behalf of a large, institutional credit investment platform for an MBS Structured Credit Analyst / Associate to join a high-performing team focused on securitized and structured credit strategies. This role blends credit underwriting, portfolio surveillance, and data-driven analysis, offering exposure to the full lifecycle of structured credit investments.

Role Highlights

Buy-side exposure to institutional structured credit portfolios

Combination of underwriting, surveillance, and portfolio management

Strong analytical and technical focus with opportunities for automation and process improvement

Visibility into macro, issuer, and collateral-level risk drivers

Scaled investment platform with meaningful deal flow and long-term career runway

Responsibilities

Perform credit analysis and underwriting of structured credit transactions, including collateral, structure, and cash flow risk

Review offering documents, term sheets, and third-party reports to formulate independent credit opinions

Conduct ongoing portfolio surveillance, including risk rating updates, performance monitoring, and exception analysis

Track issuer performance, collateral trends, and macroeconomic factors impacting structured credit markets

Prepare analytical materials and reporting for investment, risk, and portfolio management teams

Analyze large datasets to support surveillance, performance attribution, and risk monitoring

Support automation and process improvement initiatives related to reporting and analytics

Collaborate with senior investment, risk, and portfolio management professionals

Qualifications

Bachelor’s degree in Finance, Economics, Data Science, or related discipline

1–3+ years of experience in structured credit, securitized products, ratings, or credit analysis

Solid understanding of structured finance fundamentals and credit risk

Experience reviewing complex transaction documentation and surveillance materials

Strong Excel skills; SQL and/or Python experience strongly preferred

Highly analytical, detail-oriented, and intellectually curious

Strong written and verbal communication skills

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