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Market Data Lead

Metabit Technology LLC
locationNew York, NY, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job Description

Responsibilities

  • Lead the architecture design and optimization of the company's market data infrastructure to ensure efficiency and stability in data processing.
  • Lead the market data team, develop project plans, manage data processing and distribution workflows, and ensure data timeliness and reliability.
  • Develop and optimize high-performance data processing tools to handlehigh-precision market data from global exchanges and data vendors.
  • Deeply understand the market data specifications and data structures of various exchanges to ensure system compatibility and accuracy.
  • Collaborate closely with the trading team and research team to understand business requirements and provide optimized data solutions to support trading decisions.
  • Establish and maintain relationships with major data vendors, evaluate data quality and costs, and ensure the company gets the best data services.
  • Monitor the performance of market data systems and continuously improve and optimize to enhance processing speed and data quality.
  • Manage team members' development, fostering their technical and business capabilities.

Requirements

  • Bachelor's degree or higher in Computer Science, Financial Engineering, Mathematics, or a related field.
  • Proficiency in C++ programming, with extensive experience in high-performance computing and network data processing.
  • Familiarity with market data protocols (such as ITCH, etc.) and data structures of major exchanges, and knowledge of different data vendors' products and services.
  • In-depth understanding of pcap data processing and the ability to develop efficient data parsing and processing tools.
  • Over 5 years of experience in market data processing within the quantitative trading industry, with a clear profit-driven mindset and strong business acumen.
  • Strong team leadership skills with experience managing data teams and driving high performance under pressure.
  • Excellent communication and cross-departmental collaboration skills to effectively align data needs with business objectives
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