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 clear career progression and investment in your development.
- 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.
Some firms talk about impact. This one is built around it. Tempest Vane Partners is working exclusively with a top-tier systematic macro hedge fund – one of Europe’s most respected names in the space – 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. No handoffs to a middle layer. No waiting six months to see your work in production. The strategies you support are running today, and the tools you build will shape how they run tomorrow.
If you’ve spent years building serious systems but feel the distance between your keyboard and a real trading decision is growing wider, this is the role that closes it.
What Sets This Apart- You will work at the intersection of cutting-edge systematic strategy and production engineering, a rare combination even at the most sophisticated firms.
- 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, the work is yours.
- A lean, high-trust culture where merit travels fast and bureaucracy doesn’t.
- A modern cloud-native infrastructure stack and you’ll be building forward, not maintaining the past.
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, from early-stage research infrastructure through to operational, production-grade systems.
- 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; latency, reliability, and correctness all matter here.
- Contributing to a cloud-first technology environment, with hands-on exposure to distributed systems, containerisation, and modern data infrastructure.
- Bringing both the technical rigour and the communication skills to work across disciplines without losing either.
This firm doesn’t hire generically. They’re 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; you know your way around numerical libraries and you write code that others can trust.
- Commercial proficiency in at least one systems-level language, C#, Java, or C++.
- A track record in systematic trading or quantitative finance; you understand the domain, not just the tools.
- Solid grounding in database technologies and distributed messaging systems.
- Experience with cloud infrastructure, AWS in particular and modern DevOps tooling.
- The kind of clarity and confidence that makes traders trust your work and quants want to collaborate with you.
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, and this hire is part of that commitment.
Beyond the intellectual pull of the work, the firm offers:
- Compensation that reflects genuine market-leading performance: competitive base, significant bonus potential, and a strong pension.
- Private medical insurance and a comprehensive benefits package.
- On-site gym membership, a dedicated wellness facility, and complimentary daily meals. The kind of environment designed for sustained, high-performance.
- Real investment in your development: structured learning, exposure to world-class practitioners, and a clear path forward.
The strongest candidates will be those who find the boundary between quantitative research and production technology genuinely exciting. People who want to build things that matter, in an environment that rewards excellence without layers of process in the way.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Tempest Vane Partners or similar firms. A friendly chat can open doors and give you insights that a job description just 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. This is your chance to demonstrate your Python prowess and quantitative skills in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding and problem-solving skills. Practice with real-world scenarios related to systematic trading and be ready to discuss your thought process during the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Quant Developer (Python) - Systematic Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Senior Quant Developer role. Highlight your Python expertise and any relevant experience in systematic trading or quantitative finance to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Explain why you’re excited about working at the intersection of technology and trading, and how your background makes you a perfect fit for our team.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them! We love seeing real examples of your work, especially those that demonstrate your ability to build robust systems in a trading context.
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 shows us you’re serious about joining our team!
How to prepare for a job interview at Tempest Vane Partners
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other systems-level languages mentioned in the job description. Brush up on your knowledge of numerical libraries and be ready to discuss how you've used them in past projects. This role demands technical prowess, so be prepared to showcase your coding skills.
✨Understand the Trading Landscape
Familiarise yourself with systematic trading and quantitative finance concepts. Be ready to discuss how your previous experience aligns with the firm’s focus on real-time trading decisions. Showing that you understand the domain will set you apart from other candidates.
✨Prepare for Collaboration Questions
Since this role involves direct collaboration with traders and quants, think about examples from your past where you’ve successfully worked across disciplines. Be ready to explain how you translated complex requirements into effective solutions, as this will demonstrate your communication skills and teamwork.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or technical challenges during the interview. Think through how you would approach designing and delivering Python-based tooling for trading strategies. This will highlight your ability to take ownership and deliver robust solutions under pressure.