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EXL seeks a Security Master Subject Matter Expert to lead the domain authority for Security Master, Entity Master, and Reference Data. You will define data standards, validation rules, lineage, and stewardship workflows to ensure accurate, regulatory-compliant financial instrument data.
You will partner with MDM architects and governance teams to map requirements to data models, integrate feeds from Bloomberg, Refinitiv, FactSet, and ICE, and support QA with robust test scenarios and data
Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquarters in New York, our team is over 73,000+ strong, with more than 50 offices spanning six continents.
We are seeking a Security Master Subject Matter Expert (SME) to serve as the domain authority for Security Master, Entity Master, and Reference Data management for a leading global credit ratings organization. You will bridge business requirements and technology delivery — defining data standards, validation rules, data quality frameworks, and stewardship workflows that ensure accuracy, completeness, and regulatory compliance of financial instrument and legal entity data.