Das ist der Job
Design and implement low-latency trading, pricing, and risk systems using C++, Java, or Python.
Darum lohnt es sich
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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