Global Banking & Markets - Private - Structured Finance Trade Analytics - Analyst (Structured Finance)

Location: Dallas, TX, United States; onsite office role

Company

Work within the Global Banking & Markets division, supporting the Credit & Asset Finance business through the Structured Finance Analytics team.

What you will do

• Manipulate and analyze millions of loan-level records to deliver portfolio insights and strategic asset selection for traders, bankers, and clients.
• Support advisory securitization transactions across MBS and consumer ABS classes, including data validation, portfolio stratification, and reporting.
• Own collateral analysis throughout the deal lifecycle, from asset selection and pricing through marketing and closing, using Python, CAS, and SQL.
• Calculate pool-level CPR speeds, loss severity, and credit enhancement using rating-agency models.
• Create historical performance matrices and projections covering CPR, CDR, charge-offs, recoveries, and losses.
• Coordinate with the desk, IBD, transaction management, diligence, operations, controller, technology teams, rating agencies, accountants, and lawyers.

Requirements

• Bachelor’s degree or foreign equivalent.
• 0–3 years of experience in loans, fixed income, or related internships.
• Experience with Python, SQL, and reporting tools.
• Experience handling large structured and unstructured datasets containing millions or billions of loan records.
• Understanding of fixed income analytics, including duration, convexity, and yield modeling.
• Strong written and spoken communication skills for translating technical analytics into client-facing insights.

Nice to have

• Undergraduate degree in Finance, Economics, Mathematics, or another STEM-related field.
• Familiarity with mortgage or consumer credit performance data.
• Ability to operate in a high-pressure execution environment with parallel deal flow.