2 months ago

Principal, Structured CRE/BPL Resi Desk Strat

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Senior quantitative role leading cash flow modeling, deal structuring analytics, and risk assessment for Apollo’s structured CRE/BPL investment strategies. Own end-to-end analytics, develop production-grade cash flow and waterfall engines, partner with investment teams, and drive AI/ML integration into pricing and risk workflows across CRE and business-purpose residential products.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Manager level

Key Responsibilities

•Design, build, and maintain cash flow models for pools of commercial mortgage loans across Conduit CMBS, CRE CLO, Net Lease ABS, C-PACE securitization formats, and for business-purpose residential loans across Residential Transitional Loans, Single Family Rental, Build-to-Rent, Landbanking strategies, and Agricultural loans.
•Develop standardized, code-based waterfall engines that model deal structures including credit enhancement, sequential and pro-rata pay tranches, reserve accounts, interest rate hedging, and loss allocation mechanics.
•Construct loan-level default, loss severity, and prepayment models calibrated to property type, geography, leverage, and borrower characteristics, supporting both base-case and stress scenario analysis.
•Build and maintain collateral performance frameworks that enable systematic surveillance of underlying CRE loan pools across the portfolio lifecycle.
•Partner with investment teams to provide quantitative analytics in support of new deal evaluation, pricing, and relative value assessment across structured CRE/business-purpose residential products.

Pay and Benefits

Salary: USD 300,000

Key Requirements

•Significant experience in structured credit, securitized products, or quantitative CRE or business-purpose residential analytics.
•Ability to build production-quality cash flow models for securitized CRE/business-purpose residential transactions.
•Strong understanding of CRE fundamentals: property-level underwriting, capitalization rates, net operating income, debt service coverage, and loan-to-value dynamics.
•Proficiency in programming languages and quantitative tools commonly used in structured finance modeling (e.g., Python, SQL, MATLAB, C# or equivalent).
•Advanced degree in a quantitative discipline (finance, mathematics, statistics, engineering, computer science, or related field) preferred.

Experience:Structured creditCREReal estate financeQuantitative analytics

Skills:CommunicationProblem-solving

Tech Stack:PythonSQLMATLABC#AIMachine learning

Company Brief

Apollo

Global alternative investment manager specializing in private equity, credit, and real assets, managing capital for institutional and individual investors across multiple strategies and geographies.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1990

Website LinkedIn

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Apollo

2 months ago

Principal, Structured CRE/BPL Resi Desk Strat

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Manager level

Key Responsibilities

•Design, build, and maintain cash flow models for pools of commercial mortgage loans across Conduit CMBS, CRE CLO, Net Lease ABS, C-PACE securitization formats, and for business-purpose residential loans across Residential Transitional Loans, Single Family Rental, Build-to-Rent, Landbanking strategies, and Agricultural loans.
•Develop standardized, code-based waterfall engines that model deal structures including credit enhancement, sequential and pro-rata pay tranches, reserve accounts, interest rate hedging, and loss allocation mechanics.
•Construct loan-level default, loss severity, and prepayment models calibrated to property type, geography, leverage, and borrower characteristics, supporting both base-case and stress scenario analysis.
•Build and maintain collateral performance frameworks that enable systematic surveillance of underlying CRE loan pools across the portfolio lifecycle.
•Partner with investment teams to provide quantitative analytics in support of new deal evaluation, pricing, and relative value assessment across structured CRE/business-purpose residential products.

Pay and Benefits

Salary: USD 300,000

Key Requirements

•Significant experience in structured credit, securitized products, or quantitative CRE or business-purpose residential analytics.
•Ability to build production-quality cash flow models for securitized CRE/business-purpose residential transactions.
•Strong understanding of CRE fundamentals: property-level underwriting, capitalization rates, net operating income, debt service coverage, and loan-to-value dynamics.
•Proficiency in programming languages and quantitative tools commonly used in structured finance modeling (e.g., Python, SQL, MATLAB, C# or equivalent).
•Advanced degree in a quantitative discipline (finance, mathematics, statistics, engineering, computer science, or related field) preferred.

Experience:Structured creditCREReal estate financeQuantitative analytics

Skills:CommunicationProblem-solving

Tech Stack:PythonSQLMATLABC#AIMachine learning

Company Brief

Apollo

Global alternative investment manager specializing in private equity, credit, and real assets, managing capital for institutional and individual investors across multiple strategies and geographies.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1990

Website LinkedIn