Low Latency Trading Systems Specialist

2 months ago


New York, United States Motion Recruitment Full time
Grow your career as a Low Latency Trading Systems Specialist with an innovative global bank. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 12+ Months
Required Skills & Experience Bachelor’s degree in Computer Science, Information Technology. Understand markets technology and related transactional and market data protocols, including for example FIX (Financial Information Exchange protocol, Market Data) as well as basic networking concepts including the OSI model and associated protocols. Proficiency in basic scripting languages such as Python for data extraction and manipulation tasks. Able to utilize scripting languages such as Python to programmatically extract and manipulate data for analysis via various visualization tools making complex trading and telemetry information accessible and engaging. Working knowledge of various time series database, for example KBD, Grafana. Able to track and analyze key performance metrics for trade flow and its effectiveness across the trade execution stack, making data-driven recommendations for optimization and enhancements within the infrastructure. Trade system background. Understand how to take the data and move it into external data source (ADP, etc.) . Technical skills are not limited to: KDB – understand how it works and able to work with the experts in house Prometheus Telemetry tradeflow Python scripting Manipulate data – tools High graphic res based: Grafana Analytics Time series database Sequential AI
Desired Skills & Experience
Understanding of Corvil analytics tools. What You Will Be Doing Stay updated on advancements in artificial intelligence (AI) and machine learning (ML) concepts and technologies, integrating these insights into trading strategies and initiatives. Collaborate with cross-functional teams including production/trade support and technology partners to align analytics efforts with business objectives.
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