About this role
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. The successful candidate will be responsible for the below:
JOB DUTIES:
• Act as a client advisor and perform analytics on all principal and 3rd party securitization transactions including but not limited: NPL, RPL, PJ, Agency, Non-QM, SFR, MSR, Investor Occupied, Second Lien, Fix and 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, Moodys, 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/DEGREE AND FIELD:
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 advance 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.