Senior Python Developer – Electronic Trading / Risk Systems

Luxoft Capital Markets is expanding across the region with a diverse portfolio of exciting projects and long-term opportunities. We are looking for a Senior Python Data Engineer / Quant Developer to join our high-performing team of frontend & backend engineers, data scientists, architects, and project managers. This is a unique opportunity to work at the intersection of data engineering, quantitative analytics, and financial markets, delivering cutting-edge solutions for modern investment platforms and supporting the evolution toward high-frequency, electronic trading environments.

• Develop and maintain scalable solutions using Python, PySpark, and SQL
• Design and implement end-to-end data pipelines (ingestion, transformation, modelling, data quality, automation)
• Build and integrate APIs (REST, SOAP, gRPC), including authentication & authorization
• Establish and support FIX connectivity to onboard new trading venues, enabling electronic execution capabilities and assisting with the firm’s transition toward high-frequency trading environments
• Contribute to application architecture design, applying modern design patterns and best practices
• Drive Test-Driven Development (TDD) and maintain high code quality standards
• Support and enhance CI/CD pipelines and DevOps processes
• Work with cloud platforms (AWS, Azure) and data platforms such as Databricks and Palantir Foundry
• Integrate with market data and investment platforms
• Analyse complex datasets and deliver actionable business insights
• Engage stakeholders to gather, challenge, and refine requirements
• Collaborate effectively in Agile environments
• Stay current with emerging technologies and industry trends
• Python – Advanced
• SQL – Advanced
• PySpark – Intermediate
• Strong experience with FIX protocol (Financial Information eXchange), including establishing connections with new venues and supporting electronic trading workflows
• Palantir Foundry or Databricks experience
• Strong understanding of data engineering concepts
• Financial markets experience (ideally Hedge Funds / Alternative Assets)
• Strong understanding of electronic trading architectures and market connectivity, including the role of FIX in supporting low-latency and high-frequency trading systems
• Integration with market data and investment platforms
• React, OpenFin / FDC3
• Data Science knowledge
• Experience working in or supporting high-frequency / algorithmic trading environments
• Strong business analysis skills (requirements gathering & challenge)
• Excellent communication and stakeholder management
• Ability to balance short-term delivery vs long-term architecture
• Work on cutting-edge capital markets and electronic trading initiatives
• Be part of a highly skilled, global team
• Exposure to modern technologies, data platforms, and trading systems
• Opportunities for career growth and professional development
• A culture that values innovation, collaboration, and excellence

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