Job description

The Senior Credit Product Specialist operates within the Risk & Valuations Services (RVS) Business of S&P Global Market Intelligence, playing a critical role in supporting the EMEA Credit Product Specialist Team and advancing credit product capabilities across the Middle East & African markets. The role focuses on delivering subject matter expertise across a comprehensive suite of credit solutions, including quantitative credit risk models, expert-judgment based credit assessment scorecards, AI-driven credit assessment automation solutions, and research and ratings from S&P Global Ratings. The position supports Sales Specialists throughout the entire sales cycle by providing deep technical and functional knowledge of credit products, enabling effective positioning, utilization, and client adoption. The specialist contributes to the development and implementation of credit workflow solutions that address complex credit risk management challenges for rated and unrated borrowers, counterparties, customers, and suppliers. Responsibilities include aligning activities with commercial and product strategies, executing pre-sales and post-sales implementation plans, and maintaining strong engagement with strategic credit customers. The role requires expertise in credit risk modeling techniques, credit risk management, and complex client credit risk workflows across multiple financial segments including Corporates, Commercial and Investment Banking, Insurance, and Investment Management. The specialist is also responsible for leading Proof of Concept initiatives, supporting RFP processes, managing test cases for regulatory requirements such as IFRS9, and contributing to thought leadership through blogs, white papers, conferences, and webinars. The position involves collaboration with Product Management, Education, Legal, and Marketing teams, delivering credit product training, and supporting revenue growth and client retention through targeted campaigns. The role demands multilingual proficiency in English and Arabic, strong experience in financial datasets and credit workflows, and may benefit from certifications such as CFA or FRM, or advanced academic qualifications such as a PhD.