Join EY's dynamic Financial Services Office (FSO) as a Staff member in Structured Finance. This role offers a unique opportunity to build a career within a global leader in professional services. You'll be part of a team dedicated to the financial services marketplace, contributing to innovative solutions and shaping the future of the industry. EY fosters an inclusive culture where your unique perspective is valued, helping to create an exceptional experience for yourself and a better working world for all.

The Structured Finance Team specializes in the securitization marketplace, covering various asset classes like ABS, CMBS, RMBS, and CLOs. This fast-paced environment is driven by constant evolution in regulations and technology. You will support diverse engagement teams, work with a wide range of clients, and contribute to business development on strategic accounts.

As part of the SFT transaction team, you will execute Agreed-Upon Procedures (AUP) to ensure successful securitization transactions for clients.

Key responsibilities include: - Daily interaction with front-office investment banking clients. - Conducting thorough loan document and data reviews, recalculating fields, and generating exception reports. - Creating collateral stratification tables for loan pool analysis. - Verifying the accuracy and completeness of offering documents against industry standards. - Effectively managing multiple tasks and meeting strict deadlines. - Clearly articulating issues and problems to senior team members. - Collaborating effectively within a team environment. - Staying abreast of emerging AI and data-extraction capabilities for document review, while adhering to current processes and confidentiality requirements.

To excel in this role, you should possess a Bachelor's degree in Accounting, Finance, Economics, or a related field, with approximately 2 years of relevant work experience. An MBA is considered a plus.

Essential skills and attributes include: - Strong analytical thinking and a commitment to high-quality deliverables. - Ability to interpret complex financial and legal documents and link them to structured data. - Clear written and verbal communication skills, with the ability to articulate issues concisely. - A collaborative mindset, professional integrity, and confidence working with global stakeholders. - Curiosity and a drive for continuous learning, including an interest in AI and automation's potential applications. - Proficiency in Microsoft Excel, Word, and PowerPoint, including data reconciliation and formula application. - Awareness of generative AI, machine learning, or intelligent automation concepts, their limitations, and responsible use. - Prior experience with data, automation, or emerging technology tools is advantageous, such as advanced Excel, Power Query, Power BI, Python, or SQL.