Financial Modeling Analyst (Securitization / Python)

AI overview

Utilize Python to develop and enhance financial models for asset-backed securities while collaborating with top financial institutions and ensuring high standards of quality control.

Financial Modeling Analyst (Securitization / Python)

Primary Responsibilities

Extract and interpret deal structures for private asset-backed finance securitizations and warehouse facilities from offering memorandums, trustee reports, and related legal documents.

Develop programmatic representations of complex deal structures using Python.

Conduct quality control (QC) reviews to ensure models accurately reflect deal documentation and cash flow mechanics.

Collaborate with internal teams to enhance and expand the firm’s client-facing deal modeling tools and analytics platform.

Partner with clients—including investment banks, hedge funds, and alternative asset managers—to model transactions and support deal structuring and analytics.

Qualifications

1–2 years of experience in financial modeling or structured finance analytics.

Proficiency in Python required; ability to write clean, efficient, and maintainable code.

Exposure to securitization modeling (RMBS, CMBS, ABS, CLOs, or warehouse facilities) a plus.

Excellent communication skills with the ability to interact directly with clients and discuss cash flow models with confidence.

About RiskSpan

RiskSpan is a leading source of analytics, modeling, data, and risk management solutions for the Consumer and Institutional Finance industries. We help financial institutions and regulators solve complex problems involving market, credit, and operational risk. Our clients include top banks, asset managers, servicers, and government-sponsored enterprises.