Python Developer – Front Office R&D Trading Systems
MARGO
Londonmid level5 months agoAI-enriched
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Benefits
Remote Work
Job Type
full timecontract
Description
Job Title: Python Developer – Front Office R&D Trading Systems
Location: London, UK
Employment Type: Permanent or Contract
About Margo
MARGO is a tech-native consultancy delivering high-value-added IT expertise to the financial services industry. We specialize in complex Front Office environments where software engineering, quantitative logic, and production robustness intersect. Our consultants work closely with trading and research teams on real-time trading platforms, pricing frameworks, and analytical systems.
The Role
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.
Key Responsibilities
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.
Requirements
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.
Why Join Margo?
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.
Please note - We do not offer visa sponsorship for this position.
Interested? Motivated? Apply on our website or at staff.uk@margo.com
This job is found at InterviewStack.io
Skills
analytics librariesc++caching / in-memory data handlingdebugging / troubleshootingdistributed architectureselectronic tradingfront office r&dlinux/unixmonitoring / observabilityperformance optimizationproduction supportpythonreal-time / low-latency systemsrelational databasessoftware engineeringsqltrading platforms
About MARGO
MARGO is a tech-native IT consulting firm specializing in complex, high-value projects for the financial services, energy, industry, and technology sectors. Founded in 2005, MARGO has over 400 employees across offices in France (Paris headquarters), the UK (London), Poland (Warsaw), and other European locations. The firm excels in data engineering, artificial intelligence, software engineering, capital market technologies, and cloud transformation.