Python Developer – Front Office R&D, Trading Systems

Job not on LinkedIn

🕒 January 9

🏢🏡 London – Hybrid

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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Logo of MARGO

MARGO

WebsiteLinkedIn

201 - 500 employees

Founded 2005

🤖 Artificial Intelligence

💳 Fintech

Artificial Intelligence • Fintech • Digital Transformation

MARGO is a digital consulting firm specializing in high-complexity IT missions across various sectors. As data, AI, and digital experts, MARGO partners with ambitious clients to drive progress through digital transformation. With a focus on industries such as finance, insurance, energy, and technology, MARGO provides expertise in artificial intelligence, cloud transformation, data architecture, and software engineering.

📋 Description

• 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. • 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.

🎯 Requirements

• 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. • Experience in Front Office R&D or Electronic Trading environments (valued but not restrictive). • Ability to read and interact with C++ code (valued but not restrictive). • Knowledge of distributed architectures, caching, or in-memory data handling (valued but not restrictive). • Understanding of financial market concepts (valued but not restrictive). • Education - Degree (or equivalent) in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.

🏖️ Benefits

• High Impact: Work directly with traders and quantitative teams in a demanding Front Office environment. • Balanced Role: A mix of technical development and production ownership ensures you see the immediate impact of your work. • Career Growth: Benefit from a human-sized structure with close follow-up and tailor-made training paths.

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