Private Credit (Direct Lending) Risk Modeler | $100B AUM Credit Fund

Coda Search│Staffing; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Coda Search Staffing is retained by a major New York City based credit-focused investment platform to identify a Private Credit Risk Management professional focused on Credit Risk Modeling. This role works on quantitative models used to assess and monitor risk across a diversified lending portfolio.

The ideal candidate is early in their career with 1–5 years of experience, has an advanced STEM degree, and is proficient in PD/LGD modeling, statistics, and data analysis to support underwriting and

Qualifications

• 1–5 years of relevant experience in credit risk modeling or quantitative risk management.
• Advanced STEM degree (Master's or PhD) in a quantitative field.
• Strong statistical modeling skills (PD, LGD) and analytical ability.

Responsibilities

• Build, maintain, and apply quantitative models related to ratings analytics and credit risk measurement, including PD and LGD.
• Design, back-test, and validate credit rating and scoring methodologies.
• Maintain and enhance scorecards and dashboards used for risk measurement across credit strategies.
• Analyze portfolio-level and loan-level data to identify emerging credit trends and concentration risk.
• Liaise with Deal Team to track and audit the application of quantitative credit models during underwriting.
• Support ongoing monitoring of risk within the existing loan book and periodic re-rating of credits.
• Translate model outputs into clear risk assessments for underwriting memos and portfolio reviews.
• Document model methodology, assumptions, and limitations for governance and audit.
• Conduct ad hoc quantitative analyses for portfolio risk reviews and stress testing.
• Identify opportunities to automate risk measurement processes with data/tech teams.

Skills

Credit risk modeling

Quantitative analysis

PD modeling

LGD modeling

Communication

Education

Master's or PhD in a quantitative field

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