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For Companies At a Glance
- Tasks: Design and deliver Python-based tools for live trading strategies.
- Company: Top-tier systematic macro hedge fund in London with a high-trust culture.
- Benefits: Competitive salary, significant bonuses, private medical insurance, and on-site gym.
- Other info: Dynamic environment with a focus on professional development and career growth.
- Why this job: Make a real impact on trading technology and collaborate directly with traders.
- Qualifications: 10+ years in software engineering, strong Python skills, and experience in quantitative finance.
The predicted salary is between 80000 - 100000 £ per year.
The Opportunity
Tempest Vane Partners is working exclusively with a top-tier systematic macro hedge fund to find an exceptional Quantitative Developer for their London-based Alpha Technology team. The mandate here is clear: you will own technology that is woven directly into the fabric of live trading. The strategies you support are running today, and the tools you build will shape how they run tomorrow.
What Sets This Apart
- You will work at the intersection of cutting-edge systematic strategy and production engineering.
- Direct, day-to-day collaboration with portfolio managers and traders who will use and challenge what you build.
- Full lifecycle ownership: from whiteboard to back-test to live deployment.
- A lean, high-trust culture where merit travels fast and bureaucracy doesn’t.
- A modern cloud-native infrastructure stack.
The Role
You’ll be a core member of a team that keeps systematic strategies running, evolving, and performing. That means:
- Designing and delivering Python-based tooling across the entire trading strategy lifecycle.
- Engaging directly with quantitative researchers and traders to translate complex requirements into elegant, robust solutions.
- Taking genuine ownership of systems that carry real commercial weight.
- Contributing to a cloud-first technology environment.
- Bringing both the technical rigour and the communication skills to work across disciplines.
What You Bring
This firm is looking for someone who is technically formidable, intellectually curious, and comfortable operating with a high degree of autonomy. Specifically:
- A decade or more of professional software engineering experience, with Python at the centre of your craft.
- Deep fluency in quantitative and data-heavy development.
- Commercial proficiency in at least one systems-level language, C#, Java, or C++.
- A track record in systematic trading or quantitative finance.
- Solid grounding in database technologies and distributed messaging systems.
- Experience with cloud infrastructure, AWS in particular.
- A degree in a rigorous quantitative discipline: Mathematics, Computer Science, Physics, Engineering, or equivalent.
Why Now, Why Here
The systematic macro space is not slowing down – and neither is this firm. They are actively investing in the technology layer that gives their strategies an edge.
Beyond the intellectual pull of the work, the firm offers:
- Compensation that reflects genuine market-leading performance.
- Private medical insurance and a comprehensive benefits package.
- On-site gym membership, a dedicated wellness facility, and complimentary daily meals.
- Real investment in your development: structured learning, exposure to world-class practitioners, and a clear path forward.
Who Should Apply
The strongest candidates will be those who find the boundary between quantitative research and production technology genuinely exciting. If you’re considering a move and want to understand whether this is the right one, we’d welcome a confidential conversation.
Senior Quant Developer (Python) - Systematic Trading in London employer: Tempest Vane Partners
Contact Detail:
Tempest Vane Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Developer (Python) - Systematic Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Tempest Vane Partners or similar firms. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Real-world examples of your Python prowess can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative finance knowledge and coding challenges. Practice makes perfect, and we all know how crucial it is to nail those tricky questions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Quant Developer (Python) - Systematic Trading in London
Some tips for your application 🫡
Show Your Passion for Python: Make sure to highlight your experience with Python in your application. We want to see how you've used it in real-world scenarios, especially in quantitative and data-heavy development. Don't just list your skills; tell us about the projects that made you fall in love with coding!
Demonstrate Your Quantitative Skills: Since this role is all about systematic trading, it's crucial to showcase your understanding of quantitative finance. Share examples of how you've tackled complex problems and the impact your solutions had on trading strategies. We love seeing candidates who can bridge the gap between theory and practice.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your experiences and achievements. We appreciate a well-structured application that gets straight to the point without unnecessary fluff. Remember, we want to understand your journey quickly!
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 don’t miss out on any important updates. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Tempest Vane Partners
✨Know Your Python Inside Out
Make sure you’re well-versed in Python, especially its numerical libraries. Brush up on your coding skills and be ready to discuss your past projects where you've used Python to solve complex problems in quantitative finance.
✨Understand the Trading Landscape
Familiarise yourself with systematic trading concepts and the specific strategies the firm employs. Being able to speak knowledgeably about how your work can impact trading decisions will show that you’re not just a coder but someone who understands the business.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you’ve faced in previous roles and how you overcame them. Use examples that highlight your ability to design robust systems and your experience with cloud infrastructure and distributed systems.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing technical topics. The ability to communicate effectively with both quants and traders is crucial, so demonstrate that you can bridge the gap between technical and non-technical stakeholders.