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- 7+ years of experience in building high-performance data systems using kdb+/q.
- Strong expertise in time-series data modeling, tick data architecture, and real-time analytics.
- Experience leading teams or large-scale projects.
- Solid understanding of Linux systems, networking, and data caching.
- Familiarity with Python, Java, or C++ for integration and tooling.
- Experience with Kafka, AWS, Spark, or similar technologies is a plus.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
- Experience in investment banking, asset management, or capital markets environments.
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management skills.