Principal, Structured CRE/BPL Resi Desk Strat

Apollo Global Management, Inc.; Los Angeles (CA); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

Competitive salary

Discretionary annual bonus

Comprehensive benefits package

Job summary

Apollo Global Management, Inc. is seeking a Principal-level Structured Commercial Real Estate/Business-Purpose Residential loan Desk Strategist in Los Angeles. The role involves owning quantitative frameworks for modeling commercial mortgage loan pools and applying machine learning techniques for analytical processes.

Ideal candidates will have significant structured credit experience along with advanced quantitative skills and an understanding of securitized products. This position offers a competitive salary and the chance to influence Apollo's investment strategies.

Qualifications

• Significant experience in structured credit or securitized products.
• Ability to build cash flow models for securitized transactions.
• Understanding of property underwriting and loan dynamics.
• Familiarity with structured finance cash flow modeling platforms.
• Experience with credit enhancement and rating agency methodologies.

Responsibilities

• Design and maintain cash flow models for commercial mortgage loan pools.
• Partner with investment teams for quantitative analytics in deal evaluations.
• Contribute to firmwide quantitative infrastructure and model integration.
• Develop machine learning techniques for structured workflows.
• Provide mentorship to junior quantitative professionals.

Skills

Structured credit experience

Securitized products knowledge

Quantitative analysis

Programming proficiency (Python, SQL, MATLAB)

Strong communication skills

Machine learning application

Cash flow modeling

Education

Advanced degree in a quantitative discipline (finance, mathematics)

Tools

Python

SQL

MATLAB

C#

Job description

Position Overview

Apollo is seeking a Principal-level Structured Commercial Real Estate/Business-Purpose Resi loan Desk Strat to join its Global Investment Insights team in Los Angeles. This individual will be responsible for building and institutionalizing cash flow modeling, deal structuring analytics, and risk assessment capabilities across Apollo’s structured CRE/BPL investment strategies, including Conduit CMBS, CRE CLO, Net Lease ABS, C-PACE, Residential Transitional Loans, Single Family Rental, Build-to-Rent, Landbanking, and Agricultural Loans.

The Role

As a Principal within Global Investment Insights, this individual will serve as the domain expert for structured CRE/BPL resi, owning the end-to-end quantitative framework for modeling commercial mortgage loan pools and their securitized structures. The role demands deep technical fluency in CRE/BPL collateral analysis, waterfall modeling, and tranche-level risk assessment, combined with the ability to operate as a strategic partner to investment professionals and build durable, enterprise-grade analytics. The successful candidate will be expected to actively explore and integrate machine learning and AI techniques into the structured CRE/BPL analytical toolkit.

Primary Responsibilities

Cash Flow & Structure Modeling

• 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.

Investment & Structuring Support

• 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.
• Develop scenario and sensitivity frameworks to assess the impact of macro variables (interest rates, cap rates, vacancy, rent growth) on deal economics and tranche-level returns.
• Support structuring decisions by modeling alternative capital structures, credit enhancement levels, and risk/return trade-offs for both primary issuance and secondary market opportunities.

Platform & Infrastructure

• Contribute to the development of Global Investment Insights’ firmwide quantitative infrastructure by integrating structured CRE models into Apollo’s centralized analytics platform, supporting real-time portfolio risk reporting and regulatory capital stress analytics.
• Identify and implement opportunities to apply machine learning and AI techniques to structured CRE/BPL workflows—including property valuation, collateral screening, anomaly detection in loan pool performance, and scenario generation—ensuring applied AI is grounded in the analytical infrastructure that supports how the firm invests.
• Benchmark and adopt leading modeling practices and technologies from peer institutions, ensuring Apollo’s structured CRE/BPL capabilities remain best-in-class.
• Collaborate with technology and data teams to establish robust data pipelines, model governance, and version control practices for all structured CRE/BPL analytics.
• Provide mentorship and technical guidance to junior quantitative professionals supporting the structured CRE/BPL effort.

Qualifications & Experience

• Significant experience in structured credit, securitized products, or quantitative CRE or business‑purpose residential analytics, with deep domain expertise across one or more of: Conduit CMBS, CRE CLO, Net Lease ABS, C-PACE, SFR/BTR, Residential Transitional Loans, Landbanking and/or Agricultural Finance.
• Demonstrated ability to build production-quality cash flow models for securitized CRE/business‑purpose residential transactions, including loan‑level collateral modeling and deal waterfall engines.
• Strong understanding of CRE and business‑purpose residential 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 (Python, SQL, MATLAB, C# or equivalent).
• Familiarity with industry-standard structured finance cash flow modeling platforms and CRE/resi data providers is expected.
• Experience with securitization deal structures, credit enhancement mechanics, rating agency methodologies, and regulatory capital frameworks (Basel III / SCR) is strongly preferred.
• Excellent communication skills and the ability to translate complex quantitative concepts into actionable investment insights for senior stakeholders.
• Advanced degree in a quantitative discipline (finance, mathematics, statistics, engineering, computer science, or related field) preferred.
• Genuine conviction in the application of AI and machine learning to investment workflows. Experience applying ML techniques (e.g., gradient‑boosted models, NLP for document extraction, neural networks for time series) to structured finance or real estate problems is a strong differentiator.
• A collaborative, “roll up your sleeves” mentality with a commitment to building scalable, institutional‑grade analytics.

Our Benefits

Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family.

Pay Range

$300,000

Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity. The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law.

The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.