Securitization Trade Analytics Specialist

Candidate Experience Site - Lateral; Dallas (TX); On-site; USD 70,000 - 95,000; Full time

Job summary

Goldman Sachs is seeking an Analyst in Global Banking & Markets—Private, Structured Finance Trade Analytics, based in Dallas. You will architect optimization frameworks, perform large-scale data manipulations on loan-level data, and deliver portfolio insights to traders, bankers and clients.

You will own collateral analysis across the deal lifecycle using Python, CAS, and SQL, contributing to advisory securitization transactions and coordinating with rating agencies.

Qualifications

• Bachelor's degree (US or foreign equivalent)
• 0 to 3 years of loans / fixed income experience or internship in related fields
• Experience with python, SQL and reporting tools required.
• Experience working with large structured and unstructured datasets (millions/billions of loan records).
• Understanding of fixed income analytics (duration, convexity, yield modeling).
• Familiarity with mortgage or consumer credit performance data.

Responsibilities

• Perform large-scale data manipulations across millions of loan-level records to deliver portfolio-level insights.
• Act as a client advisor and perform analytics on advisory securitization transactions, including MBS/ABS classes.
• Own portfolio collateral analysis across the deal lifecycle using Python, SQL, and related tools.
• Provide pool-level CPR, loss severity and credit enhancement estimates from rating agency models.
• Collaborate with cross-functional teams to ensure accurate monthly portfolio representation.
• Translate technical analytics into client-facing insights.

Skills

Analytical thinking

Education

Bachelor's degree in Finance, Economics, Mathematics, or related field

Tools

Python

SQL

Reporting tools

Job description

Goldman Sachs is seeking an Analyst in Global Banking & Markets—Private, Structured Finance Trade Analytics, based in Dallas. You will architect optimization frameworks, perform large-scale data manipulations on loan-level data, and deliver portfolio insights to traders, bankers and clients.

You will own collateral analysis across the deal lifecycle using Python, CAS, and SQL, contributing to advisory securitization transactions and coordinating with rating agencies.