At a Glance
- Tasks: Build scalable infrastructure and enhance development tooling for analytics in finance.
- Company: Join a leading consulting firm focused on innovation and collaboration.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on diversity and innovation.
- Why this job: Make an impact in finance by driving engineering best practices and working with cutting-edge tech.
- Qualifications: 7+ years in Python and platform engineering, strong Linux knowledge, and cloud experience.
The predicted salary is between 70000 - 90000 € per year.
We are seeking an experienced Python Tech Lead / Quant Infrastructure Engineer to support the development of a modern analytics and engineering platform within Credit and Capital Management. The role focuses on building scalable infrastructure, enhancing development tooling, and improving production environments supporting quantitative risk and analytics systems.
The successful candidate will work closely with Quants, Developers, and business stakeholders, driving engineering best practices across Python development, APIs, Linux environments, containerisation, CI/CD, and production support within a banking or capital markets environment.
- Design and maintain scalable development infrastructure and engineering platforms supporting Credit and Capital Management analytics.
- Build and enhance development environments, deployment frameworks, CI/CD pipelines, and shared engineering tooling.
- Support production environments, monitoring, observability, and platform reliability.
- Collaborate with Quant Developers, Engineers, and business stakeholders to improve system performance, scalability, and maintainability.
- Drive best practices across software engineering, automation, testing, release management, and infrastructure reliability.
Requirements:
- 7+ years in Python engineering, platform engineering, infrastructure engineering, or Quant Dev infrastructure roles.
- Strong Python development experience, including backend engineering and automation tooling.
- Strong Linux/UNIX systems knowledge.
- Cloud platforms (AWS/Azure/GCP).
- Experience building and maintaining APIs and microservices.
- Strong understanding of software architecture, scalability, observability, and production support.
- Experience with SQL/NoSQL databases and data pipelines.
- Familiarity with quant/trading environments or investment banking ecosystems preferred.
Diversity drives innovation and strengthens our ability to deliver exceptional results.
Python Developer - Quant Infrastructure Engineer in City of London employer: Quanteam UK
Quanteam is an exceptional employer that fosters a culture of collaboration, innovation, and excellence, making it an ideal place for a Python Developer - Quant Infrastructure Engineer. With a strong focus on employee growth and development, we offer opportunities to work on cutting-edge projects in a dynamic banking environment, alongside talented professionals who are passionate about quantitative finance and technology. Our commitment to diversity and inclusion not only drives innovation but also ensures a supportive workplace where every team member can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - Quant Infrastructure Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to Python development and quantitative finance. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to infrastructure or analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and system design principles. Practice coding challenges and be ready to discuss your past projects, especially those involving CI/CD and cloud platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with Python, APIs, and any relevant quant or banking experience.
We think you need these skills to ace Python Developer - Quant Infrastructure Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python experience and any relevant infrastructure engineering skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your experience can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your expertise in Linux, cloud platforms, and APIs. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Quanteam UK
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in backend engineering and automation tooling. Be ready to discuss your past projects and how you've used Python to solve complex problems, as this will show your depth of knowledge.
✨Familiarise Yourself with the Tech Stack
Get comfortable with the technologies mentioned in the job description, like Linux/UNIX systems, cloud platforms (AWS/Azure/GCP), and APIs. Being able to speak confidently about these tools will demonstrate your readiness for the role.
✨Understand the Business Context
Since the role involves working closely with Quants and business stakeholders, take some time to learn about quantitative finance and risk management. This will help you connect your technical skills to the business needs during the interview.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked in teams to drive engineering best practices. Highlight your experience in improving system performance and reliability, as collaboration is key in this role.
