Structured Finance Data Analytics Analyst

Goldman Sachs; Dallas (TX); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Healthcare

Financial wellness

Health services

Fitness

Child care benefits

Job summary

Goldman Sachs in Dallas seeks an Analyst for the Global Banking & Markets - Private - Structured Finance Trade Analytics team, supporting securitization execution and asset selection for traders and clients.

You will manipulate large loan-level datasets, collaborate with settlement, servicer, and originator data, and contribute to credit memos and PPM materials as part of a fast-paced deal flow.

Qualifications

• Bachelor's degree required.
• 0–3 years of loans / fixed income experience or internship in related fields.
• Experience with python and SQL required.

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 for MBS and consumer ABS.
• Own portfolio collateral analysis across full deal lifecycle using python, CAS, and SQL.
• Provide pool level CPR speeds, loss severity and credit enhancement estimates from external models.

Skills

Data analytics

Python

SQL

Client advisory

Statistical methods

Education

Bachelor's degree

Tools

CAS

Reporting tools

Job description

Goldman Sachs in Dallas seeks an Analyst for the Global Banking & Markets - Private - Structured Finance Trade Analytics team, supporting securitization execution and asset selection for traders and clients.

You will manipulate large loan-level datasets, collaborate with settlement, servicer, and originator data, and contribute to credit memos and PPM materials as part of a fast-paced deal flow.