This role pays less than
79%
of similar roles. Most pay
$172,981–$246,900
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About S&P Global
S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.
S&P Global currently has
46 open roles
on FindRole.
Listed pay typically runs
$142,000–$200,000
across 37 roles with salary data.
Associate Director, Model Developer, Structured Finance joins the Structured Finance Methodologies team to develop and maintain a portfolio of quantitative tools and models for assets including CMBS, RMBS, CLO, Covered Bonds, and ABS. The role involves synthesizing large datasets to derive analytical value, creating user-friendly solutions for global credit analysts, and providing technical guidance to resolve complex problems. You will manage the implementation and testing of quantitative models as prototypes and production engines while drafting clear development documentation. Key technical requirements include proficiency in Microsoft Excel/VBA and programming languages such as R, Python, C++, and MATLAB, alongside experience with SQL and databases like Oracle, Sybase, or Access. This role addresses the challenge of providing transparent credit analysis by building robust analytical workflows for complex financial instruments within the global structured finance market.
Develop and maintain user-friendly quantitative tools and solutions for global credit rating analyses.
Synthesize large datasets to derive actionable insights for research publications and credit ratings.
Identify and implement creative technical solutions to improve models and analytical workflows.
Provide technical guidance and analytical insight to resolve complex, non-routine problems.
Write clear specifications and development documentation in accordance with firm policies.
Support criteria projects by testing new concepts, gathering data, and preparing materials.
Coach and guide junior developers on technical tasks and best practices.
What we're looking for
Typically requires 5 to 7 years of experience in quantitative modeling or software development supporting financial analysis.
Knowledge of capital markets and financial instruments with an emphasis on credit risk modeling is preferred.
Basic understanding of database modeling/design including SQL and experience with Oracle, Sybase, or Access.
Proficiency in Microsoft Excel/VBA and programming languages such as R, Python, C++, and MATLAB.
Ability to summarize complex quantitative concepts clearly for both technical and non-technical stakeholders.
Strong communication, interpersonal, and facilitation skills to collaborate across diverse teams.
Experience supporting multi-stage projects from planning through execution is preferred.
A Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field is preferred.
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Large Language Models
Agentic Workflows
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Data Governance
Automation
CFA
Accounting