At a Glance
- Tasks: Develop scalable solutions and data pipelines using Python, PySpark, and SQL.
- Company: Join Luxoft Capital Markets, a leader in innovative financial technology.
- Benefits: Competitive salary, career growth, and exposure to cutting-edge technologies.
- Other info: Dynamic environment with opportunities for professional development and innovation.
- Why this job: Make an impact in high-frequency trading and collaborate with a global team.
- Qualifications: Advanced Python and SQL skills, experience with FIX protocol and data engineering.
The predicted salary is between 60000 - 80000 £ per year.
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
Required 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
- 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
Be part of a highly skilled, global team with exposure to modern technologies, data platforms, and trading systems. Opportunities for career growth and professional development in a culture that values innovation, collaboration, and excellence.
Senior Python Developer - Electronic Trading / Risk Systems in London employer: Luxoft
At Luxoft Capital Markets, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our talented team of engineers and data scientists. Located in a vibrant financial hub, we provide our employees with unique opportunities for professional growth and development, while working on cutting-edge projects in electronic trading and risk systems. Join us to be part of a forward-thinking organisation that values excellence and empowers you to make a meaningful impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer - Electronic Trading / Risk Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data engineering or trading systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world scenarios. Practice coding challenges and be ready to discuss your past projects, especially those involving APIs and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Python Developer - Electronic Trading / Risk Systems in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python, SQL, and data engineering expertise, as well as any relevant experience in financial markets or electronic trading.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past projects, especially those involving high-frequency trading or data pipelines, to show how you can contribute to our team.
Showcase Your Technical Skills:Don’t forget to mention your proficiency with tools like PySpark, AWS, and FIX protocol. We love seeing candidates who can demonstrate their technical know-how and how they’ve applied it in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our team!
How to prepare for a job interview at Luxoft
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and PySpark. Brush up on your knowledge of APIs and the FIX protocol, as these are crucial for the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering or trading environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Understand the Financial Landscape
Familiarise yourself with current trends in electronic trading and financial markets. Being able to discuss recent developments or technologies in this space will show your passion and commitment to the industry.
✨Engage with Stakeholders
Demonstrate your ability to gather and refine requirements by discussing past experiences where you collaborated with stakeholders. Highlight your communication skills and how you’ve successfully navigated differing opinions to achieve project goals.
