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- Tasks: Design and develop scalable backend trading systems using Python and FastAPI.
- Company: Exciting start-up Hedge Fund founded by successful financial entrepreneurs.
- Benefits: Salary up to £100k, discretionary bonus, and excellent career progression.
- Other info: Collaborative environment in Mayfair with opportunities for continuous learning.
- Why this job: Join a small team and make a real impact in the FinTech space.
- Qualifications: Degree in Computer Science or STEM, with Python and AI experience.
The predicted salary is between 90000 - 100000 £ per year.
Are you a data savvy Python Software Engineer? You could be progressing your career in an impactful role at a start-up Hedge Fund / FinTech founded by two hugely successful financial trading entrepreneurs.
As a Python Software Engineer you'll join a small team to design and develop scalable, low latency backend trading systems services including APIs and data-driven research platforms that directly support investment and research teams. You'll focus on backend Python and FastAPI development within a modern development environment including Snowflake, Containerisation, Kubernetes, Azure, LLMs and Claude and will also have exposure to data visualisation front ends.
A key focus of the role will be designing AI-enabled workflows using LLMs, RAG, prompt engineering and agentic systems to automate research, extract insights and accelerate decision making. Working closely with portfolio managers and analysts, you'll turn complex investment processes into scalable technical solutions, leveraging structured and unstructured data to deliver actionable intelligence, while helping to drive engineering best practices across architecture, testing, CI/CD, deployment and reliability.
Location / WFH: You'll join a small, accomplished team based in Mayfair on a fulltime basis, Monday to Friday.
About you:
- You are degree educated in Computer Science or other STEM discipline, having achieved a 2.1 or above from a top tier university.
- You have commercial Python software development experience including data libraries such as Pandas and NumPy.
- You have experience using AI, LLMs and agentic tools as part of day-to-day software development and problem solving.
- You have experience of building APIs, FastAPI preferred.
- You're familiar with SQL, database management, Kubernetes, Docker, cloud platforms (Azure preferred), orchestration tools such as Airflow or Jenkins.
- You're collaborative and pragmatic with great communication skills.
What's in it for you:
- Salary to £100k.
- Discretionary bonus.
- Impactful role with excellent career progression.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Python Software Engineer - Hedge Fund in Slough employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Engineer - Hedge Fund in Slough
✨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 hedge funds. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving APIs or AI. 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 coding skills. Practice common Python problems and be ready to discuss your experience with data libraries like Pandas and NumPy. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that dream job together!
We think you need these skills to ace Python Software Engineer - Hedge Fund in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Python Software Engineer role. Highlight your experience with Python, FastAPI, and any relevant data libraries like Pandas and NumPy. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in AI and LLMs can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any projects that involve backend development or AI workflows, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, so don’t hold back!
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 shows you’re proactive – a quality we value!
How to prepare for a job interview at Client Server
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, and data libraries like Pandas and NumPy. Brush up on your knowledge of Kubernetes and Azure too, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've used AI, LLMs, or agentic tools to solve real-world problems. This will demonstrate your practical experience and ability to apply your skills effectively in a fast-paced environment.
✨Understand the Business Context
Research the hedge fund and its founders. Understanding their business model and how your role contributes to their success will help you answer questions more effectively and show your genuine interest in the position.
✨Practice Collaborative Scenarios
Since the role involves working closely with portfolio managers and analysts, be ready to discuss how you’ve collaborated in past projects. Highlight your communication skills and how you’ve contributed to team success in a technical setting.