Securitized Products Group - Financial Analytics and Structured Transactions - Analyst

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

• Prepare and normalize raw collateral and deal data into analyzable fields, performing quality checks and flagging anomalies or inconsistencies (including developing a strong understanding of data definitions, reporting conventions, and how collateral characteristics impact performance and valuation across multiple asset classes)
• 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 (framing key drivers and trade-offs, identifying assumption sensitivities, and articulating implications for pricing, risk, and execution)
• 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

Required Qualifications

• 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

Preferred Qualifications (Bonus)

• 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

Skills and Competencies

Successful Analysts on the team are disciplined, detail-oriented, and rigorous in how they validate inputs and assumptions. They can structure ambiguous questions into actionable analyses, communicate clearly in writing and verbally, and produce decisioning materials that distinguish facts, assumptions, analysis, and conclusions. They collaborate effectively across product specialists and stakeholders, incorporate feedback quickly, and maintain strong ownership of deliverables from initial request through final output, with an emphasis on execution quality, judgment, and timeliness.