Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Global Banking & Markets - Private - Structured Finance Trade Analytics - Analyst
Dallas, TX, United States
Actively hiring, first seen by us 7 days ago- Pay
- Pay not listedSimilar roles state $95K–$144K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- Entry level
0 to 3 years of loans / Fixed income experience or internship in related fields
What you’ll work on
Full postingManipulate loan-level data across millions of records to build portfolio insights
Build portfolio stratifications and replines, and validate the underlying data
Run collateral analysis and asset pool selection across the full deal lifecycle
Model CPR speeds, loss severity and credit enhancement from rating agency models
Build historical performance matrices and work with rating agencies on projections
From the employer’s posting
Perform large-scale data manipulations across millions of loan-level records
Perform data validations and create portfolio level stratification and replines.
Own portfolio collateral analysis across full deal lifecycle
Provide pool level CPR speeds, loss severity and credit enhancement from RA (Fitch, KBRA, Moodys, Milan) models.
Work with rating agencies and create historical performance matrices (CPR, CDR, Charge off, Recoveries, Loss) to project future performance.
Education & alternatives
MINIMUM EDUCATION REQUIREMENTS/DEGREE AND FIELD: Bachelor’s degree (U.S. or foreign equivalent) MINIMUM YEARS EXPERIENCE REQUIRED:
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20267 days ago
- Recorded sightings
- 11
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Oct 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 7
Similar jobs usually come down between day 5 and day 41.
From 10,930 similar postings that came down. Coming down is not always a hire.
Goldman Sachs is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- Perform data validations and create portfolio level stratification and replines. - Own portfolio collateral analysis across full deal lifecycle – from asset selection, pricing, marketing and closing using python, CAS, and SQL. - Provide pool level CPR speeds, loss severity and credit enhancement from RA (Fitch, KBRA, Moodys, Milan) models.
- Undergraduate in Finance, Economics, Mathematics, or other STEM related degrees. - Experience with python, SQL and reporting tools required. - Experience working with large structured and unstructured datasets (millions/ billions of loan records).
Your next step
Complete your application on hdpc.fa.us2.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About Goldman Sachs
- People
- About 20,000 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as GS.
Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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. The position sits at the core of securitization execution. A successful candidate will architect optimization frameworks and demonstrate an affinity for a solution-oriented mindset. The successful candidate will be responsible for the following:
JOB DUTIES:
- Perform large-scale data manipulations across millions of loan-level records delivering portfolio-level insights and strategic asset selection to traders, bankers and clients using statistical methods.
- Act as a client advisor and perform analytics on all advisory securitization transactions including any MBS classes and consumer ABS classes. Responsibilities include:
- Collaborate with clients and work with data from various sources including:
- Settlement Data
- Latest Month End Servicer Data
- TPR due diligence Data
- Originator Data
- Perform data validations and create portfolio level stratification and replines.
- Own portfolio collateral analysis across full deal lifecycle – from asset selection, pricing, marketing and closing using python, CAS, and SQL.
- 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.
- Collaborate with clients and work with data from various sources including:
- Work with rating agencies and create historical performance matrices (CPR, CDR, Charge off, Recoveries, Loss) to project future performance.
- Manage cross-functional relationship with the desk, IBD, transaction management, diligence, operation, controller, and technology team to ensure monthly portfolio activities are accurately represented.
- Strong communication skills (written and spoken) to translate technical analytics into client-facing insights.
MINIMUM EDUCATION REQUIREMENTS/DEGREE AND FIELD:
Bachelor’s degree (U.S. or foreign equivalent)
MINIMUM YEARS EXPERIENCE REQUIRED:
0 to 3 years of loans / Fixed income experience or internship in related fields
Preferred Skillsets:
- Undergraduate in Finance, Economics, Mathematics, or other STEM related degrees.
- 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.
- Ability to operate in high-pressure execution environment with parallel deal flow.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, TX, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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