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S&P Global

Delivers credit ratings, market data, indices

Associate Director - Model Developer, Structured Finance

Quantitative RiskConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Typically have 5 to 7 years of experience in quantitative modeling or software development supporting financial analysis.
  • Have knowledge of capital markets and financial instruments, with an emphasis on credit risk modeling preferred.
  • Have a basic understanding of database modeling, database design, and database applications, including SQL and experience with databases such as Oracle, Sybase, or Access.
  • Be proficient in Microsoft Excel/VBA and programming languages such as R, Python, C++, and MATLAB.
  • Be persistent and naturally curious about credit markets and technical details.
  • Communicate across a wide range of internal and external groups and personalities, using good listening techniques and clear verbal skills.
  • Work collaboratively in a team environment and adapt to the needs of a diverse team.
  • Attend at least one in-person interview at a nearby S&P Global Ratings office if selected for the final interview stage.
  • Work from the office a minimum of two days per week.

Responsibilities

  • Develop and maintain nimble, user-friendly quantitative solutions and tools for credit analysts to use in credit rating analyses and research publications.
  • Synthesize and analyze large datasets to derive analytical 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.
  • Interact closely with analysts, model developers, and subject matter experts to ensure 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 in accordance with policies and procedures.
  • Support criteria projects and participate in projects, including testing new concepts, gathering data, and writing and preparing materials.
  • Coach and guide junior developers on technical tasks and best practices, and support criteria projects by assisting with tool development, testing, and data gathering.

Desired Qualifications

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

About the Company

S&P Global

Delivers credit ratings, market data, indices

S&P Global provides financial information and analytics for investors, corporations, and governments, including credit ratings, market data, and indices. It compiles large financial data, conducts research, and offers analytics, ratings, and benchmarks accessed via subscriptions, licenses, or transaction-based services. The company differentiates itself with an integrated suite that covers ratings, data, analytics, indices, and ESG solutions across global markets, backed by well-known brands. Its goal is to help clients make informed decisions, manage risk, and drive growth while prioritizing corporate responsibility.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1917

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