Analyst, Acquisition and Securitization
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- Job Description:
- Coordinate across internal and external stakeholders to support the execution of RMBS deals, including data preparation, due diligence, offering documents, and tie-outs.
- Evaluate loan-level characteristics to help construct optimal collateral pools. Analyze eligibility, diversity, and performance metrics based on rating agency and investor criteria.
- Assist in securitization structuring by performing cash flow modeling, deal sizing, and waterfall analysis.
- Leverage Intex and Excel to support issuance decisions and related analytical work.
- Oversee the preparation and validation of loan tapes, ensuring consistency and accuracy across all transaction documentation.
- Interface with rating agencies, accountants, investment banks, and legal counsel.
- Manage deliverables and timelines to ensure all requirements are met for issuance.
- Stay current on securitization market trends, rating agency updates, and regulatory developments in the mortgage and RMBS sectors.
- Collaborate with data and technology teams to enhance and streamline securitization workflows, including tape creation and reporting automation.
- Utilize advanced analytical tools and software to enhance data accuracy and process efficiency.
- Contribute to the development of proprietary models and systems for portfolio management and securitization.
- Requirements:
- Bachelor’s degree in finance, economics, mathematics, or a related field.
- 2+ years of experience in investment analysis, transaction management, asset management, and/or securitization.
- 2+ years of experience in securitization and structured finance including investment banks, buy-side credit firms, and other capital markets platforms, preferred.
- Experience working with or at a credit rating agency (e.g., S&P, Fitch, KBRA), preferred.
- Knowledge of residential mortgage-backed securities (RMBS) and the non-agency market, preferred.
- Familiarity with Intex, SQL or Python, preferred.
- Excellent analytical and problem-solving skills, with attention to detail.
- Excellent communication and relationship‑building skills to work collaboratively with internal and external teams.
- Proficiency in building and interpreting financial models.
- Advanced proficiency in Excel, including complex formulas and data modeling.
- Benefits:
- medical
- dental
- vision
- 401K
- company-provided short-term disability
- employee assistance program
- wellness program