At a Glance
- Tasks: Design 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 workplace, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
- Why this job: Make an impact in finance with cutting-edge technology and collaborative projects.
- Qualifications: 7+ years in Python engineering and strong experience with cloud platforms.
The predicted salary is between 80000 - 100000 € 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.
You will:
- 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.
- Support containerisation and distributed compute environments for analytical workloads.
You should have:
- 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.
- Strong experience with:
- Docker / Kubernetes
- CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions etc.)
- Cloud platforms (AWS/Azure/GCP)
- Infrastructure automation
- Distributed systems
- 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.
Our Commitment: Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities. We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.
Python Developer - Quant Infrastructure Engineer employer: Quanteam UK
Quanteam is an exceptional employer that fosters a culture of collaboration, innovation, and inclusivity, making it an ideal place for a Python Developer - Quant Infrastructure Engineer. With a strong commitment to employee growth, you will have access to cutting-edge technology and the opportunity to work alongside industry experts in a dynamic banking environment. Our focus on diversity and excellence ensures that every team member is valued, contributing to a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - Quant Infrastructure Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like 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 quantitative finance or infrastructure engineering. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in Python, CI/CD, and cloud platforms. Practice common interview questions and consider mock interviews to build your confidence.
✨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 scalable infrastructure and collaboration with Quants and Developers.
We think you need these skills to ace Python Developer - Quant Infrastructure Engineer
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 development experience, especially in areas like CI/CD and containerisation, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the role. Share specific examples of your past work that align with our needs in quantitative risk and analytics systems.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies. We want to see your expertise in Python, Linux, and cloud platforms like AWS or Azure. Make it easy for us to see how you can contribute!
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 without any hiccups.
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 around backend engineering and automation tooling. Be ready to discuss your past projects and how you've used Python to solve complex problems in scalable infrastructures.
✨Familiarise Yourself with CI/CD Tools
Since the role involves building CI/CD pipelines, get comfortable with tools like GitLab CI, Jenkins, or GitHub Actions. Prepare to explain how you've implemented these in previous roles and the impact they had on deployment efficiency.
✨Understand the Quantitative Landscape
Having a grasp of quant/trading environments will set you apart. Research common challenges in these ecosystems and think about how your experience can help address them. Be ready to discuss how you've collaborated with Quants or business stakeholders in the past.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think about how you would approach improving system performance or reliability in a production environment. Highlight your experience with monitoring and observability tools to back up your strategies.
