Job Description
The Structured Finance Analytics team under Global Banking & Markets division is seeking a motivated professional to support the Credit & Asset Finance business. The team has product expertise across residential assets, consumer loans, real estate, and warehouse financing.
Job Duties
- Act as a client advisor and perform analytics on all principal and 3rd party securitization transactions including but not limited to: NPL, RPL, PJ, Agency, Non-QM, SFR, MSR, Investor Occupied, Second Lien, Fix & Flip, iBuyer and Mortgage Insurance Linked Notes. Responsibilities include:
- Collaborate with client and perform data tape creation from various resources including:
- Settlement Data
- Latest Month End Servicer Data
- TPR due diligence Data
- Originator Data
- Perform data validations and create portfolio level stratification and replines.
- Perform portfolio collateral analysis.
- Provide pool level CPR speeds, loss severity and credit enhancement from RA (Fitch, KBRA, Moody's, Milan) models.
- Assist in populate credit memo and PPM materials with outside accountants and lawyers.
- Perform asset pool selection based on contribution requirements on ABS/CMBS securitization. Work with rating agencies and create historical performance matrices (CPR, CDR, Charge off, Recoveries, Loss) to project future performance.
- Evaluate daily mark to market on all MSR warehouse lines. Provide recommendations on OAS spreads given the recent dynamic change in rate environments.
- Manage cross‑functional relationship with the desk, IBD, transaction management, diligence, operation, controller, and technology team to ensure monthly portfolio activities are accurately represented.
Minimum Education Requirements
- Bachelor’s degree (U.S. or foreign equivalent)
Minimum Years Experience Required
- 0 to 3 years of Resi loans / Fixed income experience or internship in related fields for analyst.
- 3+ years of experience for associate.
Preferred Skillsets
- Undergraduate in Finance, Economics, Mathematics, or other STEM related degree.
- Big four accounting firm experience in collateral analytics and RA runs on RMBS/CMBS deals strongly preferred.
- Advanced Excel skills with knowledge in advanced functions such as VLOOKUP, SUMPRODUCTS, INDEX/MATCHES, INDIRECTs etc.
- Technical skills including CAS, Excel VBA, SQL preferred. Knowledge in Python huge plus.
- Ability to perform under fast‑paced environment with tight time constraints.