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Job description
Our firm has been retained by a $200B+ AUM credit-focused investment platform based in New York City to identify a Private Credit Risk Management professional focused on Credit Risk Modeling. This is an opportunity to join a market-leading credit manager and work directly on the quantitative models used to assess and monitor risk across a diverse portfolio of lending structures spanning multiple industries.
The Risk Management team is seeking a Credit Risk Modeling professional to build, maintain, and apply models used in ratings analytics and quantitative credit risk measurement. This individual will work closely with Deal Teams to support the application of quantitative credit models throughout the underwriting process for new loans and the ongoing monitoring of risk across the existing loan book. The role offers exposure to a wide variety of lending structures across industries, and is well suited to a candidate early in their career who wants to build deep expertise in credit risk modeling within a large, sophisticated private credit platform.
Responsibilities
Build, maintain, and/or apply quantitative models related to ratings analytics and credit risk measurement, including probability of default (PD) and loss given default (LGD), across a range of lending structures and industries
Design, back-test, and validate credit rating and scoring methodologies, ensuring model outputs remain accurate, stable, and aligned with observed portfolio performance over time
Maintain and enhance scorecards and dashboards used for risk measurement across the Firm's various credit strategies, incorporating new data sources and refining methodology as the loan book evolves
Analyze portfolio-level and loan-level data to identify emerging credit trends, concentration risk, and early warning indicators across industries and structures
Liaise with Deal Team members to track and audit the application of quantitative credit models to risk assessment during the underwriting of new loans, ensuring models are applied consistently and appropriately across transactions
Support ongoing monitoring of risk within the existing loan book, including periodic re-rating of credits, tracking of model overrides, and escalation of deteriorating credits to senior risk and deal team stakeholders
Partner with Deal Teams and senior Risk Management personnel to translate model outputs into clear, actionable risk assessments for use in underwriting memos, credit committee materials, and portfolio reviews
Assist in the documentation of model methodology, assumptions, and limitations to support internal governance, model validation, and audit processes
Conduct ad hoc quantitative analyses in support of portfolio risk reviews, stress testing, and scenario analysis across lending structures and industries
Identify opportunities to automate and streamline existing risk measurement processes, working with data and technology teams as needed to improve efficiency and data integrity
Stay current on industry trends, market data, and evolving best practices in quantitative credit risk modeling to inform ongoing enhancement of the Firm's risk frameworks
Qualifications
1–5 years of relevant experience in credit risk modeling, quantitative risk management, or a related quantitative discipline
Advanced STEM degree required (Master's or Ph.D. in a field such as financial engineering, statistics, mathematics, physics, computer science, or a related quantitative discipline)
Strong quantitative and analytical skills, with the ability to build and apply statistical/credit risk models (e.g., PD, LGD)
Interest in private credit and private markets
Strong communication skills and the ability to collaborate cross-functionally with Deal Teams and other stakeholders
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.