About the Role:

Grade Level (for internal use):

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). The criteria and models that the group develops and maintains help global analysts produce independent credit ratings covering Structured Finance securitizations.  The team is focused on producing timely, insightful, and innovative analysis and research of the highest quality that grows our relevance in the market. As a Methodology SME, you will be embedded within the SF team and work closely with the Model and Criteria 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.

The Impact:

The candidate will enhance our ability to produce high-impact, insightful credit analysis and research and grow our relevance in an evolving market by synthesizing, analyzing, and deriving value from datasets, developing, and delivering innovative analytic solutions and tools, and helping to build data analytics capabilities across Methodologies.

What’s in it for you?

• Lead a team of resources and leverage their quantitative abilities to develop analytic solutions and tools that enable our credit analysts to perform high quality analysis and research;
• Challenging and steep learning curve, which could lead to continued growth within the organization by demonstrating strong analysis, teamwork, 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.
   

Responsibilities:

• Lead a team which will 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;
• Work together with senior members of Methodologies and Ratings Technology to ensure that our models and tools are reliable, operational, performant, and meet business requirements;
• Create applications and dashboards that utilize models, tools, and data for use across the organization;
• Synthesize and analyze large datasets to derive analytic value and insights for credit rating analyses and research publications;
• Focus on identifying areas for new, creative solutions and continuous improvement;
• Provide insight to the team in solving 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 collaboratively with senior model and criteria SMEs within the group;
• Work closely with the Model and Criteria Validation group to ensure a high quality product;
• Ensure your team writes clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and procedures; and
• Support criteria projects and be an active member of projects including developing tools, testing of new concepts, data gathering, writing, and preparation of materials.

Compensation/Benefits Information: (This section is only applicable to US candidates)

S&P Global states that the anticipated base salary range for this position is $198,000 to $230,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan.

What We’re Looking For:

Basic Qualifications

• Bachelor's or post-graduate degree in Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics or a related field and;
  • 5-7 years work experience in relevant field;
  • Knowledge of capital markets (preferably Structured Finance), financial instruments with an emphasis on credit risk modeling are preferred;
  • Basic understanding of database modeling/design and applications.
  • Knowledge of SQL and experience in databases such as Oracle, Sybase, or Access would be beneficial;
  • Proficiency in excel/VBA and programming languages: R/R Shiny (required), Py