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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in financial modeling and analytics for securitization transactions, with strong proficiency in Microsoft Excel and an understanding of AI and automation concepts. Capable of interpreting complex financial documentation and delivering high-quality client services while managing risks and stakeholder communications.
Highest-signal resume keywords
Financial ModelingSecuritization TransactionsMicrosoft Excel ProficiencyAnalytical ThinkingClient Relationship Management
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Financial ModelingCash Flow ModelingData ReconciliationStructured AnalysisTransaction Due-DiligenceCollateral Quality AssessmentCredit Enhancement AnalysisHedging InstrumentsAI AwarenessMachine Learning Concepts
Soft Skills
Attention to DetailClear CommunicationCollaborative MindsetCuriosityLearning Agility
Tools & Technologies
Microsoft ExcelPower QueryPower BIPythonSQLBloombergMarkit
Industry Keywords
SecuritizationStructured FinanceCLOsCDOsCommercial Real Estate LendingIndentureOffering MemorandumData PrivacyInformation SecurityResponsible AI Principles
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Perform agreed-upon procedures (AUP) to help clients execute securitization transactions successfully
- Check financial model accuracy by comparing calculations with governing documents
- Create cashflow and analytics models for securitized products, including CDOs and CLOs
- Perform transaction modeling and analytics, including cash flow modeling, collateral quality and concentration limitations, bond principal and interest payments, credit enhancement, hedging instruments, fees and waterfalls
- Construct independent cash flow and collateral models using Microsoft Excel
- Create and update detailed agreed-upon procedure reports
- Interpret prospectuses and indentures, including collateral, waterfalls, triggers, hedges, paydown rules and loss allocation rules
- Analyze complex Excel and third-party models, including Bloomberg, rating agency portals and Markit, for structured-product valuation
- Establish client relationships and deliver quality client services
- Monitor progress, manage risk and keep stakeholders informed about progress and expected outcomes
- Demonstrate technical capabilities and maintain current advisory-services and industry knowledge
- Assess emerging AI and data-extraction capabilities for document review while observing process, control and confidentiality requirements
Requirements
What you’ll need- A bachelor's degree in Accounting, Finance, Economics, or a related discipline
- Approximately 2 years of related work experience
- Proficiency in Microsoft Excel, Word and PowerPoint, including data reconciliation, formulas and structured analysis
- Awareness of generative AI, machine learning or intelligent automation concepts, including potential applications, limitations and responsible use
- Strong prioritization skills and flexibility to support client deadlines and role-based shifts when required
- Strong analytical thinking, attention to detail and commitment to high-quality client deliverables
- Ability to interpret complex financial and legal documentation and connect document terms to structured data
- Clear written and verbal communication, including concise issue articulation and client-ready reporting
- Collaborative mindset, professional integrity and confidence working with global stakeholders
- Curiosity and learning agility regarding AI and automation
- Awareness of AI limitations, source traceability, confidentiality and responsible-use principles
- Prior structured finance, securitization, commercial real estate lending or transaction due-diligence experience preferred
- Exposure to CLO Payment Date Verifications, Indenture and Offering Memorandum preferred
- Exposure to data, automation or emerging technology tools such as advanced Excel, Power Query, Power BI, Python, SQL, workflow automation or approved AI assistants desirable
- Awareness of responsible-AI principles, data privacy, information security, explainability and human oversight
Benefits
Comp & perks- Continuous learning and development opportunities
- Tools and flexibility to make a meaningful impact
- Leadership insights, coaching and confidence-building
- Diverse and inclusive culture
- Collaboration with global EY teams
- Exposure to people, learning, skills and insights across EY’s global delivery network