
Associate Implementation Specialist, Pricing and Reference Data
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Job overview
FactSet’s Data Solutions group supports clients’ data consumption processes through proprietary and industry-standard delivery solutions. The Pricing and Reference Data Associate Implementation Specialist designs and implements client-specific data solutions, working across internal teams and with clients. The role covers data transformation, testing, troubleshooting, product development, and client engagement, with exposure to FactSet products, cloud services, databases, financial content, and APIs.
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Full job description
FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients needs and exceeding their expectations. Your Team's ImpactWe are seeking a highly skilled and motivated individual to join our Data Solutions group as a Pricing and Reference Data (PRD) Associate Implementation Specialist.The Data Solutions group is responsible for the growth of FactSets DataFeed (off-platform) products and solutions. Our aim is to consult & organize our clients data consumption processes with FactSet proprietary and industry standard delivery solutions.Pricing and Reference Data is foundational data used to identify, describe and value financial instruments, such as stocks, bonds, derivatives, and currencies. PRD is required for workflows across the entire investment process, including trade execution, portfolio management, risk management, compliance, investment accounting and reporting. There is a tremendous market for this area of focus, including expanding into new clients, as well as competitor replacements.You will gain exposure to a wide range of Data Solutions products; including FactSet proprietary technologies (e.g. User Configurable Feeds), Cloud and Managed Services (Snowflake, AWS, Azure), Standard DataFeeds (SQL Databases), FactSet proprietary content, Prices, Partner and exchange data and FactSet Content APIs as well as learning to design custom solutions tailored to each client using a combination of products.What You'll Do * Gathering client requirements, preparing proof of concept files, data transformation and filtering, process design, implementation, testing & troubleshooting, and pre-sales client communication. * Liaising with the pre-sales coverage check team to facilitate the delivery of initial sample files * Working alongside with our sales, product, engineering, consulting teams and other internal teams throughout the implementation process. * Develop and share knowledge on PRD content (e.g. instrument identifiers, symbol cross reference, entity reference, prices, terms and conditions, corporate actions and derived analytics) * Involvement in product development (working with agile teams, improving existing & new products) to help shape the future of FactSets PRD offering * Client relationship management * Day to day client engagement * Standardization of client specific tasks * Streamlining data workflows & pipes * External and internal training and education * Debriefing of complex situationsWhat We're Looking ForRequired Skills * University degree in Data, Business, Technology or other related field * A minimum of 1 year of pricing and reference data experience * Knowledge of financial products and instruments * Data management and Query Language experience * Good understanding of how to navigate through functions and code arguments in Excel * Strong organizational skills to manage multiple projects and identify economies of scale * Effective communication and interpersonal skills to collaborate with diverse teams * Ability to cultivate collaborative and productive relationships * Adaptability and capability to manage multiple priorities * Ability to analyze, validate, and interpret large and complex datasets. * Ability to troubleshoot data issues, reconcile mismatches, or resolve feed integration issues.Desired skills * Good understanding of financial data and different security types (stocks, fixed-income securities, derivatives, F
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