Senior Python Developer - Electronic Trading / Risk Systems

💡 About the Role 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. 🔧 Key Responsibilities • 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 • Develop UI components and dashboards (Dash, JavaScript, React) • Integrate with market data and investment platforms • Support quantitative models (Monte Carlo simulations, pricing, risk, factor modelling) • Contribute to portfolio management processes (asset allocation, rebalancing, attribution) • 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 ✅ Skills • 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 • API development (REST, SOAP, gRPC) – Advanced • TDD, DevOps, CI/CD pipelines • Application architecture & design patterns • JavaScript – Intermediate, Dash (Python framework) • AWS – Intermediate, Azure (preferred) • Palantir Foundry or Databricks experience • Strong understanding of data engineering concepts 📊 Domain Expertise • 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 • Portfolio management lifecycle (asset allocation, construction, rebalancing, attribution) • Integration with market data and investment platforms • Exposure to quantitative models (Monte Carlo, pricing engines, risk, factor modelling) ⭐ Nice-to-Have • 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 • Agile delivery experience • Ability to balance short-term delivery vs long-term architecture 🌟 Why Join Luxoft? • 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 👉 Interested? Apply now or connect with us to learn more about how you can be part of Luxoft’s Capital Markets success story.