Quantitative Credit Risk Associate — PD & LGD Modeling

Coda Search│Staffing; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Coda Search│Staffing partners with a global asset manager to hire a Quantitative Credit Risk Associate in NYC. You will own, develop, and maintain the probability of default modeling framework and related loss estimation models across the credit platform. This is a build-oriented role working closely with deal and portfolio teams.

Requirements include 2+ years in quantitative credit risk, a STEM degree, and strong Python/SQL skills to communicate model outputs to investment professionals.

Qualifications

• 2+ years of experience in quantitative credit risk, modeling, validation, or related quantitative role.
• Strong applied statistical modeling and PD modeling experience.
• Comfort with Python and SQL.
• Understanding credit fundamentals and financial statements.

Responsibilities

• Build, calibrate, and maintain PD models for private middle-market borrowers.
• Develop LGD and EAD models reflecting collateral and structures.
• Extend framework across asset classes (pool-level and cash flow modeling).
• Map internal risk ratings to external scales and study defaults.
• Back-test model output against defaults, downgrades, and recoveries.

Skills

Quantitative risk

Credit modeling

Model validation

Communication of outputs

Education

Bachelor's or Master's in STEM

Tools

Python

SQL

Job description

Coda Search│Staffing partners with a global asset manager to hire a Quantitative Credit Risk Associate in NYC. You will own, develop, and maintain the probability of default modeling framework and related loss estimation models across the credit platform. This is a build-oriented role working closely with deal and portfolio teams.

Requirements include 2+ years in quantitative credit risk, a STEM degree, and strong Python/SQL skills to communicate model outputs to investment professionals.