$300,000
Listed on Apollo Management’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the development of quantitative modeling frameworks for structured commercial real estate and business-purpose residential lending across Apollo's investment platform. It suits experienced structured credit professionals with deep expertise in CMBS, CLOs, securitization mechanics, and cash flow modeling who want to shape enterprise analytics infrastructure and explore AI applications in real estate investing.
Our summary, not Apollo Management’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Significant experience in structured credit or securitized products with domain expertise in CMBS, CRE CLO, or business-purpose residential lending
- Ability to build production-quality cash flow models for securitized transactions including loan-level collateral modeling
- Strong understanding of CRE fundamentals: underwriting, cap rates, NOI, DSCR, and LTV dynamics
- Proficiency in programming languages used in structured finance modeling
- Familiarity with securitization deal structures and credit enhancement mechanics
Nice to have
- Experience with industry-standard structured finance modeling platforms and CRE data providers
- Familiarity with rating agency methodologies and regulatory capital frameworks (Basel III, SCR)
- Advanced degree in a quantitative discipline
- Experience applying machine learning techniques to structured finance or real estate problems
- Background in Net Lease ABS, C-PACE, SFR, Build-to-Rent, Residential Transitional Loans, Landbanking, or Agricultural Finance