Data Content Specialist for Market Data group

About the role

The Enterprise Data department of our client is seeking Content Specialists to serve as the primary point of contact for data-related needs of their customers. This role involves maintaining ownership of all client data content during the pre-sale and onboarding process, collaborating across the organization to clarify data field behaviors and availability, and instigating dialogue with internal and external business units to fill content gaps.

Responsibilities

• Maintain ownership of all client data content during the pre-sale and onboarding process.
• Achieve a deep partnership with client data and technical stakeholders to fully understand their data content needs and use cases.
• Ensure the client’s data requirements are available and work with the client on creative solutions, if gaps exist.
• Understand the client’s data distribution requirements and areas for growth, working closely with sales and technical account managers.
• Develop a deep understanding of the company’s data delivery mechanisms to demonstrate the most suitable options for the client.
• Manage application content migrations for all of the company's Enterprise Products.
• Coordinate and interact with data origination teams and product managers to obtain clarification on field definition/behavior and instrument availability.
• Ensure the shortest possible time to application go-live while maintaining high standards of work practices.
• Work with financial market data, different security/instrument identifiers, and financial instruments across various asset classes.
• Collaborate with buyside and sellside organizations to understand the different market players and their data/application needs.
• Show high-level proficiency in Microsoft Office Products, specifically Excel.
• Provide excellent customer service, communication, and presentation skills, preferably having had a client-facing role.
• Show analytical skills, strong organizational abilities, and strong problem-solving skills.
• Show familiarity with main OMS, PMS, TMS, and Risk systems.
• Show working proficiency with a programming language, ideally Python.
• Show up-to-date industry knowledge on data trends.
• Show previous knowledge and understanding of Enterprise data products.

Requirements

Experience working with financial market data, familiarity with different security/instrument identifiers and their applicability across different asset classes, good understanding of financial instruments across different asset classes, high level proficiency in Microsoft Office Products (specifically Excel), great customer service, communication, and presentation skills, analytical skills, strong organizational abilities, strong problem-solving skills, familiarity with main OMS, PMS, TMS, and Risk systems, working proficiency with a programming language, ideally Python, up to date industry knowledge on data trends, previous knowledge and understanding of Enterprise data products.