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Market Data Specialist
Ref No.: 18-01244
Location: NYC, New York
Position Type:Direct Placement
Start Date: 05/24/2018
Market Data Engineer
Job Description The Market Data Engineering role consists of designing and supporting market data ticker plants globally.

Competency in Reuters TREP, Bloomberg, and direct feed infrastructures are required. Software development experience in C, C++ or Java is a BIG plus.

This role has design, engineering, and support responsibilities. The primary focus will be for our US-based locations but will, on occasion, be asked to support international locations. The candidate must be comfortable speaking directly with Portfolio managers, traders and other key personnel within the firm.

This Engineer is responsible for ensuring that all of the firm's market data ticker plants are functioning, answering users' technology questions, and addressing problems as quickly as possible.

The function of the role will increase over time so some experience and the desire and ability to work in this space is a prerequisite.

  • Act as a Market Data expert with deep understanding of all data services, its characteristics and value, across all asset classes, segments and service appearances.
  • Build strong relationship with data vendors and enforce data SLA and data quality agreements with vendors.
  • Act as a Data Curator, managing data through its lifecycle and ensuring its readiness for use.
  • Provide information, advice, solutions and value-added consultation on market data as a subject matter expert to various PMs, business units, including colleagues in Market Data Services, IT, and sourcing functions.
  • Gather, document, critically analyze and communicate market data business requirements and issues. Understand user requirements and requests for new services etc.
  • Gather information about Market Data services and enrich internal repository for MD Catalog with relevant meta-data and other relevant information.
  • Understand data services and their relationship, relevance and most optimal usage, including, from service quality point of view, ability to substitute a data set with an alternative.
  • Build relationships and regular communication lines with the business and key stakeholders. Establish trust and credibility.
  • Provide data service discovery ability, along with an initial scoring of new services.
  • Ability to work on deep data analysis with various tools to ensure data fidelity.