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Client Service Specialist

Passfort - Heredia, Costa Rica - In-office

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Moody's Analytics is seeking a Client Service Specialist to serve as the primary point of contact for clients using Moody's Analytics products. This role is based in Heredia, Costa Rica and is part of a globally connected Client Services and Support team responsible for delivering world-class customer experience across the Moody's Analytics product suite. Key responsibilities include: - Provide superior customer service on Moody's Analytics industry-leading products - Communicate with clients in a courteous, professional, accurate, and timely manner - Manage and escalate requests appropriately while maintaining ownership of client interactions until resolution - Develop excellent working relationships with colleagues in Client Service and partner teams (Product, Sales, Customer Success, Engineering, Research, Data, Analysts) - Identify, capture, and channel client feedback on product features and functionality - Originate content for the Moody's Analytics Knowledge Base - Support new product launches and new business initiatives - Identify sales and up-sell opportunities for the business The team is embracing AI-driven tools and innovations to elevate client service and improve support operations efficiency. You will contribute to meaningful work supporting credit risk professionals and financial institutions globally. Requirements: - Bachelor's degree required - Strong customer service skills and eagerness to excel in a dynamic, fast-growing team - Superb analytical skills and persistence in problem solving; experience supporting enterprise applications is a plus - Excellent verbal, written, and organizational skills - Demonstrated creativity, flexibility, enthusiasm, and willingness to learn - Fluency in English required - Exposure to the financial industry, banking, and/or capital markets is a plus - Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can improve processes and drive efficiency - Interest in exploring AI systems and willingness to develop awareness of responsible AI practices, including risk management and ethical use

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