RMBS & CMBS Structuring & Modeling Associate

Summary: Our Structured Credit Team is split between Atlanta and Dallas, and supports the structuring, underwriting, and execution of complex loan portfolio transactions, with a primary focus on RMBS and CMBS. This role offers exposure to the full deal lifecycle - from initial data analysis and pool shaping to execution and ongoing portfolio management - across securitizations, bank warehouse facilities, and bespoke financing structures.

Essential Job Functions: Analyze extensive loan-level data tapes, identify missing or inaccurate fields, validate data integrity, and transform raw datasets into accurate, actionable formats. Contribute to loan pool evaluation and shaping through borrower, collateral, and market analysis. Build and maintain detailed cash flow and loan-level models for large, diverse loan pools, incorporating various financing structures such as securitizations, bank warehouse lines, and customized funding solutions. Model hedging strategies and assess the impact of interest rate and credit risk. Support the execution of securitized transactions (RMBS, CMBS, CRE CLO) and other asset-backed finance structures. Prepare high-quality materials for internal investment committees, rating agencies, capital markets counterparties, and other external stakeholders. Collaborate with internal teams (legal, accounting, servicing, portfolio management) and external partners (rating agencies, capital markets desks, warehouse lenders) throughout the deal lifecycle. Assist in ongoing portfolio management, including model updates as portfolios evolve and the development of tools to extract insights from performance trends. Skills we're seeking Bachelor's degree is required, ideally in Finance, Analytics or Technical field 2+ years of relevant experience in real estate finance-focused roles Experience with securitized transactions - RMBS more important than CMBS but both would be great to have experience with Proficiency in financial modeling and securitization analytics DealMaker is a big nice to have Demonstrated ability to work with incomplete or unverified datasets, perform rigorous data validation, and synthesize findings into clear, actionable insights. Exceptional analytical skills with the ability to interpret complex datasets, assess credit risk, and structure transactions.