below marketmost similar roles pay hereabove market
This role pays less than
85%
of similar roles. Most pay
$185,207–$253,500
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$219k
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
39 open roles
on FindRole.
Listed pay typically runs
$145,245–$200,000
across 36 roles with salary data.
JOB TITLE: Associate Director, Model Developer, Structured Finance - New York or London
The 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 like CMBS, RMBS, CLO, and Covered Bonds. This role involves synthesizing large datasets to derive analytic value, building innovative analytic solutions, and providing technical guidance to resolve complex problems. You will perform implementation and testing of quantitative models as prototypes and production engines using the Quantitative Toolbox. Key technical requirements include proficiency in R, Python, C++, MATLAB, and Microsoft Excel/VBA, alongside knowledge of SQL and databases like Oracle, Sybase, or Access. You will support credit rating analyses by creating user-friendly tools, writing specifications, and coaching junior developers to ensure high-quality, transparent credit analysis across global sectors.
Develop and maintain user-friendly quantitative solutions and tools for global credit rating analyses.
Synthesize and analyze large datasets to derive insights for research publications and credit ratings.
Identify and implement creative solutions to improve models and analytical workflows.
Provide technical guidance and analytical insight to resolve complex, non-routine problems.
Collaborate with analysts and model developers to ensure data tools effectively inform decisions.
Write clear specifications and development documentation in accordance with company policies.
Support criteria projects by testing new concepts, gathering data, and preparing materials.
Coach junior developers on technical tasks and best practices.
What we're looking for
Typically have 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 (preferred).
Basic understanding of database modeling/design and applications, including SQL and experience in Oracle, Sybase, or Access.
Proficiency in Microsoft Excel/VBA and programming languages such as R, Python, C++, and MATLAB.
Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field (preferred).
Ability to summarize complex quantitative concepts clearly and concisely for technical and non-technical stakeholders (preferred).
Experience supporting multi-stage projects from planning through execution (preferred).
Ability to work from the office a minimum of 2 days per week.
Oracle Database
Autonomous Database
Exadata
Data Lakehouse
AI
Machine Learning
Data Integration
Data Governance
Multi-Cloud
Cloud Architecture
Data Engineering
data, analytics
Oracle Data Intelligence
Java
J2EE
JEE
Multithreading
Low Latency Optimization
Solace
Data Pipelines
Graph-based Data Structures
Agile Methodology
Business Data Analysis
Business Process Modeling
AI Modeling
Data Science
Data Analytics
Business Intelligence
Risk Management
Financial Mathematics
Quantitative Finance
Process Improvement
Digital Tooling
AML
Sanctions
Data Integrity
Analytics Frameworks