Investment Risk AVP - ABF
A leading Credit and Private Credit Asset Manager is currently hiring an AVP to join their Investment Risk team in New York or Los Angeles.
This is a newly created position in a well-established risk and quant risk analytics team. The hiring manager is looking for a risk analyst to improve risk tooling, dashboards, analytics, and models related to all Asset Based Finance investment teams across the firm. This opportunity will gain exposure to a variety of investment strategies across Specialty Finance (equipment, aviation and transportation, consumer), RMBS and Non-QM Securitized products, Fund Finance, and other Bespoke Private ABF deals.
This hire will partner with investment and deal teams to add value across the investment life cycle from a risk and data analytics perspective. The real value add is in data-driven analysis and monitoring of current and prospective investments while supporting portfolio construction and investment decision making. Outside of securitized and structured credit product knowledge, they are seeking someone with a broad skillset across investment analysis, risk management, and data analysis/data science to generate actionable risk and portfolio construction insights for the investment teams.
The ideal candidate has expertise in asset-backed/structured/securitized credit markets, proficiency in analyzing loan level and fund level data using Python/SQL/PowerBI or similar tools and technologies, and can easily convey technical details to non-technical audiences.
Requirements:
- 4-8 years of experience within an asset manager, ratings agency, or investment bank
- Strong macro-level understanding of key risk and performance drivers in private, securitized, and structured credit markets
- Expert knowledge of Specialty Finance ABS, Equipment/Aviation Finance ABS, Non-QM RMBS, Residential Non-QM Loans, and/or Private ABF Deals is strongly preferred
- Prior experience communicating and partnering directly with PMs and investment teams, deal teams, and senior stakeholders in risk, quant analytics, and/or sales & trading
- Proficiency with SQL, Power BI, Excel, and preferably Python for data analysis and visualization
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