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Salary: USD 135,700 - 196,750 / annual
Moody's is seeking a Director, Solutions Specialist for Structured Finance to serve as a strategic liaison between technical teams and sales organizations. This role focuses on commercializing and driving adoption of structured finance data and analytics solutions across the investor base, including asset managers, insurers, banks, and structured credit professionals.
Key responsibilities include facilitating product demonstrations and discovery sessions for prospective and existing clients; leading the development of RFI and RFP responses in partnership with sales and product teams; managing customer onboarding for API and web-based products; conducting regular client touchpoints to identify expansion opportunities; and acting as a bridge between technical staff and frontline sales teams to translate client requirements into executable solutions.
You will support clients in accessing, connecting, and interpreting structured finance performance data across multiple asset classes including CLOs, CMBS, RMBS, and ABS. The role also involves developing user guides, training materials, and enablement resources tailored to structured finance investor workflows, and gathering client feedback to inform product enhancements and roadmap development.
The ideal candidate brings 5+ years of experience in structured finance, securitization analytics, or a related client-facing role at a service provider, ratings agency, or financial institution. Strong working knowledge of structured finance asset classes, tranche mechanics, credit enhancement, and cashflow waterfalls is essential. Experience with Moody's Structured Finance Portal, Structured Finance Workstation, and CDONet solutions is preferred, as is prior experience at data/analytics vendors like Bloomberg or Trepp.
Excellent communication skills are critical—the ability to explain complex structured credit concepts to both technical and non-technical audiences. You must manage multiple client engagements simultaneously in a fast-paced environment. A bachelor's degree in Business, Finance, Data Analytics, Economics, or related field is required; equivalent practical experience is also considered. Basic understanding of AI concepts and curiosity about responsible AI practices is valued.
