Bulge Bracket Investment Banks

Posted 14 days ago

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**Securitized Products Group - Financial Analytics & Structured Transactions - Analyst** in New York, NY Analyze raw collateral and deal data, perform pool, portfolio, and transaction analytics, and support financings/securitization via high-level assessments. Utilize industry tools (Intex, Bloomberg, OASis) and proprietary Python models for cashflow, pricing, and scenario analysis. Produce clear reports, discuss findings with stakeholders, and make informed decisions. **Required:** - Bachelor's in Computer Science, Engineering, Economics, or Finance - Strong analytical, problem-solving, and quantitative skills - Profound communication, data interpretation, and stakeholder management - Understanding of fixed income mathematics and cash flows - Adaptability in fast-paced, pressurized environments **Preferred:** - Experience in structured products and securitized markets - Proficiency in Python and familiarity with databases/data pipelines - Experience with industry analytics tools and modeling frameworks - Familiarity with automation and AI-assisted analysis tools

Compensation: Not specified
City: New York City
Country: United States

Full Job Description

Location: New York, NY, United States

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

Bachelors 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.

As an Analyst on the SPG FAST team, you will work with internal teams and external counterparties to analyze collateral and structured transactions to facilitate purchases, sales, financing, securitization and advisory activity. The role includes exposure to loan-level and pool-level collateral data, and associated CUSIPs, across residential, consumer, and other securitized product types.

Full Job Description

Location: New York, NY, United States

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

Required Qualifications

Bachelors degree (or equivalent practical experience) in computer science, engineering, economics, or finance

Strong analytical, problem solving, and quantitative skills

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

Securitized Products Group - Financial Analytics and Structured Transactions - Analyst

Full Job Description

Required Qualifications

Preferred Qualifications (Bonus)

Skills and Competencies

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