The New York Stock Exchange (NYSE) is seeking to implement and evolve its application capacity and performance framework across all NYSE Group subsidiaries, to assess and optimize application performance and capacity in a high-throughput, low-latency trading environment.
Requirements
- Strong expertise in data analysis, modeling, and statistical techniques.
- Proficiency in Python or other scripting languages for automation and analysis.
- Solid understanding of network protocols (TCP/IP, Multicast) and distributed systems.
- Proven experience with data visualization platforms (e.g., Grafana, Tableau, Splunk).
- Deep understanding of low-latency, high-throughput environments, preferably in financial trading or similarly demanding domains.
- Experience supporting electronic trading platforms or high-frequency trading systems.
- Familiarity with capacity planning tools, time series databases (snow flake), and observability platforms.
Responsibilities
- Lead initiatives to define metrics and data requirements supporting capacity and performance monitoring.
- Develop and refine models to analyze usage trends, predict future capacity needs, and proactively manage risk.
- Investigate and resolve production issues that impact system performance or client experience.
- Collaborate with development and infrastructure teams to identify and implement performance and scalability improvements.
- Onboard and integrate new data sources, perform data transformation, and apply analytics to extract actionable insights.
- Use statistical modeling and data science techniques to detect patterns and anomalies.
- Build automated pipelines and reusable scripts (e.g., Python) to support analytics workflows.
Other
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in Performance Engineering and Capacity Planning for high-availability, mission-critical systems.
- Excellent verbal and written communication skills.
- Strong problem-solving skills and the ability to work independently under pressure.
- Demonstrated ability to lead cross-functional initiatives and mentor junior team members.
