13 часов назад
Principal, Consumer Finance Investment Strategy
300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal, Consumer Finance Investment Strategy (Consumer Credit and Structured Finance): Building code-based cash flow, credit, prepayment, loss, and risk models for securitized and whole-loan consumer finance products with an accent on ABS structures, collateral surveillance, and scalable quantitative infrastructure. Focus on designing waterfall engines, stress-testing tranche economics, integrating machine learning and AI into investment workflows, and supporting pricing, structuring, and portfolio risk decisions.
Location: Woodland Hills, California, United States
Salary: $300,000 base salary annually, plus a discretionary annual bonus.
Company
is a global alternative asset manager providing investment and capital solutions across credit, private equity, and retirement services.
What you will do
- Build and maintain loan-level and cohort-level models for defaults, loss severity, prepayments, delinquency migration, and collateral performance.
- Design cash flow models and code-based waterfall engines for Auto ABS, Credit Card ABS, Student Loan ABS, Personal Loan ABS, marketplace lending, BNPL, and whole-loan portfolios.
- Develop scenario analysis, stress testing, collateral surveillance, and tranche economics tools for primary and secondary market opportunities.
- Partner with investment, portfolio risk, technology, and data teams on pricing, structuring, relative value, risk reporting, data pipelines, and model governance.
- Apply machine learning and AI to credit scoring, alternative data integration, loan tape analysis, early warning systems, and prepayment/default prediction.
- Provide mentorship and technical guidance to junior quantitative professionals.
Requirements
- Significant experience in consumer credit analytics, securitized products, or quantitative consumer finance.
- Production-quality cash flow modeling experience, including collateral performance models and deal waterfall engines.
- Strong understanding of consumer credit, underwriting metrics, credit scoring, delinquency migration, recoveries, and vintage analysis.
- Programming proficiency in Python, SQL, R, C#, and/or C++; experience with large loan-level datasets and SAS is preferred.
- Familiarity with structured finance platforms such as Intex or dv01, securitization structures, credit enhancement, rating methodologies, and regulatory capital frameworks.
- Advanced degree in finance, mathematics, statistics, engineering, computer science, or a related quantitative discipline is preferred; experience applying AI and machine learning to consumer credit or structured finance is a strong differentiator.
Culture & Benefits
- Work within 's centralized Global Investment Insights organization and broader credit platform.
- Collaborative environment focused on scalable, institutional-grade analytics and cross-functional partnership.
- Benefits programs provide coverage for employees and their families.
- Eligibility for a discretionary annual bonus based on personal, team, and firm performance.
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