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Technical Responsibilities:

  • Design and implement low-latency trading, pricing, and risk systems using C++, Java, or Python.
  • Build and maintain market data ingestion and processing pipelines for high-frequency data.
  • Optimize critical-path systems through profiling, performance tuning, and concurrency improvements.

Collaboration and Culture:

  • Collaborate closely with quants, traders, and risk professionals to refine models.
  • Participate in incident response for trading-critical systems and ensure rapid resolution.
  • Mentor junior engineers and contribute to a strong engineering culture focused on precision and innovation.

Requirements and Growth:

  • Bachelor's or Master’s degree in Computer Science, Mathematics, Physics, or related field.
  • 6+ years of software engineering experience in fintech or trading environments.
  • Exposure to advanced quantitative modeling and real-time financial infrastructure with career growth opportunities.

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