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- Tasks: Design and develop scalable backend trading systems using Python and FastAPI.
- Company: Exciting start-up Hedge Fund with a focus on innovation and technology.
- Benefits: Competitive salary up to £100k, discretionary bonus, and 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 100000 - 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
Apply now to find out more about this Python Software Engineer / Developer opportunity.
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 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
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Show Off Your Skills
Don’t just tell them you’re great at Python; show them! Work on personal projects or contribute to open-source. We recommend having a portfolio ready to showcase your coding chops and problem-solving skills.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. We suggest using platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Python Software Engineer - Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with data libraries like Pandas and NumPy. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at the hedge fund and how your experience with AI and LLMs can contribute to our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects involving APIs or FastAPI, make sure to mention them! We love seeing practical examples of your work, especially those that demonstrate your problem-solving skills 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. Plus, it’s super easy!
How to prepare for a job interview at Client Server
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss your past projects and how you've used these tools to solve real-world problems.
✨Familiarise Yourself with FastAPI
Since the role focuses on backend development with FastAPI, it’s crucial to understand its features and benefits. Prepare to explain how you've built APIs in the past and any challenges you faced while doing so.
✨Showcase Your AI Knowledge
Given the emphasis on AI and LLMs, be prepared to discuss your experience with these technologies. Think of specific examples where you've implemented AI solutions or automated processes using agentic tools.
✨Communicate Clearly and Collaboratively
This role requires great communication skills, so practice articulating your thoughts clearly. Be ready to demonstrate how you've worked collaboratively in teams, especially in high-pressure environments like finance.