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Develop and enhance high-frequency trading strategies by analyzing large financial datasets, building predictive models, writing scalable C++/Python scripts, implementing monitoring and post-trade systems, and collaborating with traders on deployment and performance improvements.

Analyze production trades and work with senior traders to implement and improve automated trading strategies. Build monitoring and post-trade systems, develop risk attribution and performance analytics, implement market-data analysis tools, and manage deployments and release cycles using Python, C++, and shell scripting.

As a Python Developer, you will design efficient scripts, create data visualizations, and optimize data processing pipelines while collaborating with teams to gather requirements.

Build scalable software tools for quantitative researchers: post-trade analytics, centralized market-data analysis, and C++/Python scripts for simulations, risk attribution, and performance breakdowns. Mentor junior developers and work in Linux environments.

The Support Engineer will ensure reliability of databases and trading systems by monitoring and resolving production issues, enhancing stability, and building automation.