EY is seeking professionals for its Structured Finance Team within the Financial Services Office (FSO). This role focuses on the dynamic securitization market, including asset-backed securities (ABS), commercial mortgage-backed securities (CMBS), residential mortgage-backed securities (RMBS), and collateralized loan obligations (CLOs). Join a team at the forefront of financial services innovation, supporting diverse clients and leading business development.

This is an excellent opportunity to work in a fast-paced transaction environment, collaborating with engagement teams and clients. You will play a key role in developing strategic business relationships and contributing to global priority accounts.

Your primary responsibility will involve performing agreed-upon procedures (AUP) to ensure the successful execution of securitization transactions. This includes verifying the accuracy of financial models against governing documents and developing cash flow/analytics models for structured products like CDOs/CLOs.

You will also be involved in transaction modeling, including cash flow analysis, recalculating collateral quality and concentration limits, and modeling bond payments, credit enhancement, fees, and waterfalls. Constructing independent cash flow and collateral models using Microsoft Excel and preparing detailed AUP reports summarizing findings are also key tasks.

Furthermore, you will interpret complex prospectus/indenture information, analyze structured products using Excel and third-party tools (e.g., Bloomberg), and build relationships with client personnel. Maintaining an awareness of emerging AI and data-extraction capabilities for document review, while adhering to process controls and confidentiality, is crucial.

To excel in this role, you should possess strong analytical thinking, meticulous attention to detail, and a commitment to delivering high-quality client work. The ability to interpret complex financial and legal documentation and link document terms to structured data is essential.

Clear written and verbal communication skills are necessary for articulating issues concisely and producing client-ready reports. A collaborative mindset, professional integrity, and confidence in working with global stakeholders are highly valued. Curiosity and learning agility, including an interest in AI and automation, are encouraged.

Candidates must hold a bachelor's degree in Accounting, Finance, Economics, or a related field, with approximately two years of relevant work experience. An MBA is preferred. Proficiency in Microsoft Excel, Word, and PowerPoint, including data reconciliation, formulas, and structured analysis, is required. Familiarity with generative AI, machine learning, or intelligent automation concepts is beneficial.