Associate Director, Model Developer, Structured Finance - New York or London

S&P Global•New York, NY

1d•$148,491 - $176,000•Hybrid

About The Position

The Structured Finance (SF) Methodologies team is responsible for a large portfolio of criteria and models spanning the global SF universe, including CMBS, RMBS, CLO, Covered Bonds, Non-Traditional and ABS asset types. The criteria and models that the group develops and maintains help analysts produce independent credit ratings that increase S&P Global’s analytical relevance in the market. As a Methodology Model SME, the position is embedded within the SF team and works closely with the Model and Criteria SMEs, who are responsible for developing and maintaining a growing portfolio of cutting-edge quantitative tools and analysis that enable analysts to continually produce high-quality and transparent credit analysis. The Associate Director enhances S&P Global Ratings’ ability to produce high-impact, insightful research and models and supports the continued growth of S&P Global Ratings’ relevance in an evolving market by synthesizing, analyzing, and deriving value from datasets, developing innovative analytic solutions and tools, and helping to build data analytics capabilities across the SF team. The role leverages quantitative abilities to develop analytic solutions and tools that enable credit analysts to perform high-quality analysis and research. The position explores new areas for research and aids in business development initiatives. It supervises and performs implementation and testing of quantitative models as prototypes and production engines using the Quantitative Toolbox as appropriate, to further the study, application and acceptance of quantitative methodologies as part of the firm’s businesses. The role offers a challenging, steep learning curve, and the position could lead to continued growth within the organization by demonstrating strong analysis and presentation skills. Gain analytic knowledge of a wide range of global sectors and market topics. Gain exposure to stakeholders across S&P Ratings and enjoy a strong collegial, collaborative environment.

Requirements

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 knowledge of SQL and experience in databases such as Oracle, Sybase, or Access.
Proficiency in Microsoft Excel/VBA and programming languages such as R, Python, C++, and MATLAB.
Persistent with a natural curiosity about credit markets and technical details.
Displays well-rounded communication skills that implement good listening techniques, clear and good verbal skills. The ability to communicate across a wide range of groups and personalities internally and externally.
Works well in a team environment, focusing on collaboration and adapting to the needs of a diverse team.

Nice To Haves

Bachelor's degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics, or a related field
Self-starter with the ability to work independently and collaborate effectively across diverse teams.
Able to summarize complex quantitative concepts clearly and concisely for technical and non-technical stakeholders.
Experience supporting multi-stage projects from planning through execution.
Strong time management, prioritization and deadline-management skills.
Effective communication, interpersonal and facilitation skills, with the ability to manage multiple priorities.
Strong customer service orientation and stakeholder-management skills.
Creative problem-solver who works well in fast-paced environments.

Responsibilities

Develop and maintain nimble, user-friendly quantitative solutions and tools that will be used by credit analysts globally in credit rating analyses and research publications.
Synthesize and analyze large datasets to derive analytic value and insights for credit rating analyses and research publications.
Proactively identify and implement creative solutions to drive continuous improvement across models and analytical workflows.
Provide analytical insight and technical guidance to help the team resolve complex, non-routine problems and tasks.
Maintain close interaction with analysts, model developers, and subject matter experts to ensure that data analyses and tools effectively inform analytical decisions.
Work closely with the Model and Criteria Validation group to ensure a high-quality product.
Write clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and procedures.
Support criteria projects and be an active member of projects, including testing of new concepts, data gathering, writing and preparation of materials.
Coach and guide junior developers on technical tasks and best practices; support criteria projects by assisting with tool development, testing, and data gathering