Senior Associate Director - Structured Finance Modeling

S&P Global; New York (NY); On-site; USD 148,000 - 176,000; Full time

Benefits offered by this job

Annual incentive plan

Health care coverage

Flexible downtime

Job summary

S&P Global Ratings seeks an Associate Director to advance quantitative models and analytics within the Structured Finance Methodologies team. You will work embedded with Model and Criteria SMEs to develop tools and approaches that support high-quality credit analysis for diverse asset types, including CMBS, RMBS, CLOs, and ABS.

You will synthesize large datasets, guide junior developers, and collaborate across stakeholders to ensure robust, transparent methodologies and production-ready

Qualifications

• 5–7 years of experience in quantitative modeling or software development supporting financial analysis.
• Knowledge of capital markets and financial instruments, with emphasis on credit risk modeling.
• Basic understanding of database modeling/design; SQL and databases like Oracle, Sybase, or Access.

Responsibilities

• Develop and maintain nimble, user-friendly quantitative solutions and tools used by credit analysts globally.
• Synthesize and analyze large datasets to derive analytic value for credit rating analyses and research publications.
• Proactively identify and implement solutions to improve models and analytical workflows.
• Provide analytical insight and guidance to resolve complex problems and ensure data-informed decisions.
• Write clear specifications and documentation to ensure consistent development practices.

Skills

Quantitative modeling

Software development

Capital markets

Team collaboration

Communication

Education

Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or related field

Tools

SQL

Oracle

Sybase

Access

Excel/VBA

R

Python

C++

MATLAB

Job description

S&P Global Ratings seeks an Associate Director to advance quantitative models and analytics within the Structured Finance Methodologies team. You will work embedded with Model and Criteria SMEs to develop tools and approaches that support high-quality credit analysis for diverse asset types, including CMBS, RMBS, CLOs, and ABS.

You will synthesize large datasets, guide junior developers, and collaborate across stakeholders to ensure robust, transparent methodologies and production-ready