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A hybrid Software Development role at MARGO.
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Original listing text, shown exactly as published by the company.
You will join a Front Office R&D and Trading Technology environment, designing, maintaining, and evolving the ecosystem used by traders and quantitative teams. This role combines 70% Development & Engineering with 30% Production Support, giving you strong ownership of the platform.
The environment is characterized by rapid iterations, direct interaction with traders, and high reliability constraints. You will work primarily in Python, developing core frameworks, analytical libraries, and monitoring tools.
Development & Engineering (Approx. 70%)- Design, develop, and maintain Python-based core libraries and frameworks.- Work closely with traders and research teams to gather requirements for new analytics and trading tools.-Improve the performance, scalability, and maintainability of the Python platform.-Enhance existing monitoring, analysis, and control tools to support research workflows.
Support & Production (Approx. 30%)-Provide L1/L2 support to Front Office users to ensure system stability during market hours.-Investigate and resolve production incidents efficiently.-Develop tools to improve system reliability and operational efficiency.-Contribute to the evolution of performance-sensitive and low-latency setups.
Essential Skills:Strong Python Proficiency: Expertise in core Python development and performance-aware coding.Linux/UNIX: Solid knowledge of Linux environments for production and debugging.Database Skills: Experience with SQL and relational databases.Production Experience: Ability to work under pressure with strong troubleshooting and analytical skills.Communication: Clear communication style with a structured problem-solving mindset.
Valued (but not restrictive):Experience in Front Office R&D or Electronic Trading environments.Ability to read and interact with C++ code.Knowledge of distributed architectures, caching, or in-memory data handling.Understanding of financial market concepts.
Education - Degree (or equivalent) in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.
