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Market Data Lead Singapore
Job in
New York City, Richmond County, New York, 10261, USA
Listed on 2025-11-28
Listing for:
Metabit
Full Time
position Listed on 2025-11-28
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
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 handle high-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.
- 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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