Securitized Products Group - Financial Analytics and Structured Transactions - Analyst

JPMorgan Chase & Co.•New York, NY

2h•$110,000 - $125,000•Hybrid

About The Position

The Securitized Products Group - Financial Analytics and Structured Transactions team is seeking an Analyst to prepare and normalize raw collateral and deal data into analyzable fields. This role involves performing quality checks, flagging anomalies, and developing a strong understanding of data definitions and reporting conventions. The Analyst will conduct pool, portfolio, and transaction analytics using internal models and assumptions, collaborating with various partners on custom scenarios and sensitivities. Responsibilities include supporting financing and securitization analysis by assessing structural considerations, maintaining internal databases of securitizations, and running ad hoc pricing, scenario, and cashflow analysis using industry platforms and proprietary models. The role also requires producing clear written materials and summaries for stakeholders, highlighting risks, sensitivities, and data limitations.

Requirements

Bachelor’s degree (or equivalent practical experience) in computer science, engineering, economics, or finance
Strong analytical, problem solving, and quantitative skills
Excellent communication skills and strict attention to detail, including the ability to identify patterns and anomalies in data, explain findings clearly, and work effectively with multiple stakeholders
Understanding of fixed income mathematics and cash flows
Comfort working under time pressure, prioritizing across concurrent requests, and managing timelines and deliverables in a fast-paced environment

Nice To Haves

Experience or demonstrated interest in structured products and securitized markets across a broad set of asset classes (e.g., ABS, MBS, CMBS, CLO, consumer, and other securitized collateral types)
Experience with Python or other scripting languages, and familiarity with databases and data pipelines
Experience with industry analytics tools (e.g., Intex) and/or internal pricing and modeling frameworks
Familiarity with automation and AI-assisted tools as a productivity aid in research or analysis

Responsibilities

Prepare and normalize raw collateral and deal data into analyzable fields, performing quality checks and flagging anomalies or inconsistencies.
Perform pool, portfolio, and transaction analytics using internal models and agreed-upon assumptions, working with trading, structuring, sales, banking and other partners on custom scenarios and sensitivities.
Support financing and securitization analysis by assessing structural considerations at a high level, including concepts such as credit enhancement and loss coverage, advance rates and haircuts, and key term comparisons across market conventions.
Maintain and use internal databases and trackers of securitizations and transactions to compare structures, bond sizing, and deal terms across sectors and asset classes.
Run ad hoc pricing, scenario, and cashflow analysis in industry analytics platforms (e.g., Intex, Bloomberg, OASis) and proprietary Python-based models.
Produce clear written materials and summaries for stakeholders, highlighting risks, sensitivities, data limitations, and execution considerations; be prepared to discuss findings with internal and external partners as needed.