A Python engineer (3–4 years experience) builds and maintains tools, data pipelines, and platforms supporting quantitative research and trading — from market-data processing to analytics libraries — while being mentored toward a quantitative developer career path. Core stack is Python, SQL, and Linux, with exposure to C++, Docker/Kubernetes, and cloud as a plus.
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