About the Role:

Grade Level (for internal use):

Model Developer Associate Director - Structured Finance

The Team:

The Structured Finance (SF) team is responsible for a vast portfolio of criteria and models spanning ABS, RMBS, CMBS and Structured Credit (including CLO's). Our criteria and models enable global analysts to produce independent credit ratings covering Structured Finance securitizations. We are focused on producing timely, insightful, and innovative analysis and research of the highest quality that grows our relevance in the market. As a Model Developer Associate Director, you will be embedded within the SF team and work closely with Model and Criteria Subject Matter Experts (SMEs), who are responsible for developing, maintaining, and delivering a growing portfolio of cutting-edge quantitative tools, models and analysis that enable analysts to continually produce high quality and transparent credit analysis. This is an excellent opportunity to join S&P Global as we transform our infrastructure and deliver cloud-based tools to the analytical teams, while also developing your skills and furthering your career as we power the markets of the future.

Responsibilities and Impact:

• Design and build nimble, user-friendly quantitative solutions and tools that will be used by credit analysts globally in credit rating analyses and research publications

• Collaborate with senior members of Methodologies and Ratings Technology to ensure that our models and tools are reliable, operational, performant, and meet business requirements

• Develop applications and dashboards that utilize models, tools, and data for use across the organization

• Analyze and synthesize large datasets to derive analytic value and insights for credit rating analyses and research publications

• Proactively identify areas for new, creative solutions and continuous improvement while demonstrating strategic thinking aligned with business objectives

• Serve as a technical expert to the team in solving complex, non-routine problems and tasks while coaching junior team members

• Foster collaborative relationships with analysts, model developers, and subject matter experts to ensure that data analyses and tools effectively inform analytical decisions

• Partner strategically with senior model and criteria SMEs within the group to influence cross-functional initiatives

• Ensure quality standards through close collaboration with the Model and Criteria Validation group

• Produce comprehensive specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and procedures

• Lead and contribute to criteria projects including developing tools, testing of new concepts, data gathering, writing, and preparation of materials

• All employees are required to work from the office a minimum of 2 days per week

• We require all candidates who reach the final stage of our interview process to attend at least one in-person interview, which is ordinarily at your nearest S&P Global Ratings office. This must be completed before we can proceed to an offer

What We're Looking For:

Basic Required Qualifications:

• Bachelor's or post-graduate degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics or a related field

• 5-7+ years work experience in quantitative modeling, preferably in structured finance or securitizations

• Deep knowledge of capital markets with specialized expertise in Structured Finance securitizations and credit risk modeling

• Advanced proficiency in programming languages: R/R Shiny (required), Python, and C++

• Strong foundation in database modeling/design and applications, including SQL and experience with databases such as Oracle, Sybase, or similar platforms

• Excellent communication skills with the ability to articulate complex quantitative concepts across diverse audiences internally and externally while building consensus across competing priorities

• Proven ability to work collaboratively in cross-functional teams and adapt to the needs of a diverse, global team

Additional Preferred Qualifications:

• Master's degree or advanced quantitative certification

• Expertise in financial or credit risk modeling for structured finance products

• Advanced proficiency in R programming and