Principal – Consumer Finance Investment Strategy

Position Overview

Apollo is seeking a Principal-level Consumer Finance Investment Strat to join its Global Investment Insights organization in Los Angeles. This individual will be responsible for building and institutionalizing cash flow modeling, credit and prepayment analytics, and risk assessment capabilities across Apollo’s consumer finance investment strategies. The role spans the full breadth of consumer asset classes, including Auto ABS, Credit Card ABS, Student Loan ABS, Personal Loan ABS, consumer whole loans, marketplace lending, and buy-now-pay-later (BNPL) platforms.

This is a high-impact role at the intersection of quantitative analytics and consumer credit investing, embedded within a centralized investment capability that serves Apollo’s broader credit platform. The successful candidate will partner directly with investment teams, portfolio risk, and senior leadership to deliver scalable, code-based modeling frameworks that support pricing, structuring, collateral performance analytics, and risk management across both securitized and unsecuritized consumer finance products.

The Role:

As a Principal within Global Investment Insights, this individual will serve as the domain expert for consumer finance, owning the end-to-end quantitative framework for modeling consumer loan pools—both in securitized structures and as whole loan portfolios. The role demands deep technical fluency in consumer credit modeling (default, loss severity, prepayment, and delinquency dynamics), deal waterfall mechanics, and collateral surveillance, combined with the ability to operate as a strategic partner to investment professionals and build durable, enterprise-grade analytics. Consistent with Global Investment Insights’ vision of embedding analytics and AI directly into investment workflows, the successful candidate will be expected to actively explore and integrate machine learning and AI techniques—such as borrower-level credit scoring, alternative data integration, and automated collateral surveillance—into the consumer finance analytical toolkit.

Primary Responsibilities:

Collateral Credit, Prepayment & Loss Modeling

• Construct and maintain loan-level and cohort-level default, loss severity, prepayment, and delinquency roll-rate models calibrated to borrower characteristics (FICO, DTI, LTV, vintage, geography) and macroeconomic variables (unemployment, interest rates, HPI).

• Develop scenario and stress testing frameworks to assess the sensitivity of collateral performance and tranche economics to adverse credit and macro environments.

• Build collateral surveillance tools that enable systematic monitoring of pool performance trends—including delinquency migration, cumulative net loss curves, and prepayment speeds—across both seasoned portfolios and new originations.

• Develop standardized tools to leverage internal, loan-level collateral credit models to analyze public ABS deals.

• Analyze emerging consumer credit segments (marketplace lending, BNPL, fintech-originated loans) and develop bespoke modeling approaches that capture their unique risk profiles, including limited performance histories and non-traditional underwriting criteria.

Cash Flow & Structure Modeling

• Design, build, and maintain cash flow models for consumer finance transactions across Auto ABS, Credit Card ABS, Student Loan ABS, Personal Loan ABS, marketplace lending securitizations, and BNPL structures.

• Develop standardized, code-based waterfall engines that model deal structures including credit enhancement, excess spread mechanics, early amortization triggers, reserve accounts, and tranche-level loss allocation.

• Build flexible modeling frameworks that accommodate both term (amortizing) and revolving master trust structures, reflecting the distinct cash flow dynamics of each.

• Support structuring decisions by modeling alternative capital structures, credit enhancement levels, and risk/return trade-offs for both primary issuance and secondary market opportunities.

Investment Support & Platform

• Partner with investment teams to provide quantitative analytics in support of new deal evaluation, pricing, and relative value assessment across consumer finance products—both securitized and whole loan.

• Contribute to the development of Global Investment Insights’ firmwide quantitative infrastructure by integrating consumer finance 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 consumer finance workflows—including borrower-level credit scoring and segmentation, alternative data integration, automated loan tape analysis, early warning systems for portfolio deterioration, and prepayment/default prediction—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 consumer finance capabilities remain best-in-class.

• Collaborate with technology and data teams to establish robust data pipelines, model governance, and version control practices for all consumer finance analytics.

• Provide mentorship and technical guidance to junior quantitative professionals supporting the consumer finance effort.

Qualifications & Experience

• Significant experience in consumer credit analytics, securitized products, or quantitative consumer finance, with deep domain expertise across one or more of: Auto ABS, Credit Card ABS, Student Loan ABS, Personal Loan ABS, consumer whole loans, marketplace lending, and/or BNPL.

• Demonstrated ability to build production-quality cash flow models for consumer finance transactions, including collateral performance modeling (default, prepayment, loss severity) and deal waterfall engines.

• Strong understanding of consumer credit fundamentals: borrower-level underwriting metrics, credit scoring methodologies, delinquency migration, recovery dynamics, and vintage analysis.

• Proficiency in programming languages and quantitative tools commonly used in structured finance and consumer credit modeling (e.g., Python, SQL, R, or equivalent).

• Familiarity with industry-standard structured finance cash flow modeling platforms (e.g., Intex, dv01, etc.) and consumer credit 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, deep learning for time series forecasting, alternative data analysis) to consumer credit or structured finance problems is a strong differentiator.

• A collaborative, “roll up your sleeves” mentality with a commitment to building scalable, institutional-grade analytics.

• Experience processing big loan-level dataset (fluency with SAS preferred).

• Ability to program in C# and/or C++ to support model implementation.

About Apollo:

Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade credit to private equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. As of December 31, 2025, Apollo had approximately $938 billion of assets under management. To learn more, please visit www.apollo.com.

Our Purpose & Core Values

Our clients rely on our investment acumen to help secure their future. We must never lose our focus and determination to be the best investors and most trusted partners on their behalf. We strive to be:

• The leading provider of retirement income solutions to institutions, companies, and individuals.

• The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses.

• A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference.

We are building a unique firm of extraordinary colleagues who:

• Outperform expectations

• Challenge Convention

• Champion Opportunity

• Lead responsibly

• Drive collaboration

As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together.

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 contents of the qualifications and experience section of this job description are a guideline only. If an applicant can otherwise demonstrate their suitability for the role they will be considered.

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.