Securitized Analytics Analyst — Structured Finance & Data

JPMorgan Chase & Co.; New York (NY); On-site; USD 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in New York, NY seeks an Analyst to prepare and normalize collateral data, run analytics, and support securitization pricing and risk analyses.

You will work with trading, structuring, sales, and banking teams to frame drivers, test assumptions, and communicate findings clearly. The role requires a strong foundation in finance or engineering, excellent problem-solving and communication skills, and experience with Python and data pipelines.

Qualifications

• Bachelor’s degree in computer science, engineering, economics, or finance.
• Strong analytical, problem solving, and quantitative skills.
• Excellent communication and attention to detail; identify patterns and anomalies.

Responsibilities

• Prepare and normalize raw collateral and deal data into analyzable fields, performing quality checks and flagging anomalies.
• Perform pool, portfolio, and transaction analytics using internal models and agreed-upon assumptions with partners on sensitivities and pricing implications.
• Support financing and securitization analysis by assessing structural considerations, including credit enhancement, loss coverage, advance rates, and term comparisons across markets.
• Maintain and use internal databases and trackers of securitizations and transactions to compare structures and deal terms.
• Run ad hoc pricing, scenario, and cashflow analyses in industry analytics platforms and Python-based models.
• Produce clear written materials and summaries for stakeholders, highlighting risks, data limitations, and execution considerations.

Skills

Analytical skills

Quantitative skills

Attention to detail

Communication skills

Fixed income math

Education

Bachelor’s degree

Tools

Python

SQL

Bloomberg

Job description

JPMorgan Chase & Co. in New York, NY seeks an Analyst to prepare and normalize collateral data, run analytics, and support securitization pricing and risk analyses.

You will work with trading, structuring, sales, and banking teams to frame drivers, test assumptions, and communicate findings clearly. The role requires a strong foundation in finance or engineering, excellent problem-solving and communication skills, and experience with Python and data pipelines.