At a Glance
- Tasks: Design and build core platform components for trading analytics and execution.
- Company: A growing fintech firm revolutionising trading technology for institutional clients.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate closely with traders and quants in a fast-paced fintech setting.
- Why this job: Join a high-impact role shaping critical trading systems in a dynamic environment.
- Qualifications: 5+ years in platform engineering with strong Python skills; finance knowledge is a plus.
The predicted salary is between 80000 - 100000 € per year.
A growing fintech business building advanced analytics and execution technology for institutional clients across the derivatives space. Their platform is used by leading hedge funds and asset managers to support relative value, volatility, and macro trading strategies. The environment combines strong engineering standards with close interaction between trading, research, and technology teams.
This is a senior engineering technology role focused on the core analytics platform that underpins pricing, screening, and execution workflows. You'll play a key part in designing and evolving production systems used by traders, quants, and portfolio managers, with ownership across reliability, scalability, and performance.
The role would suit someone with strong platform engineering instincts who enjoys building robust systems in fast-moving trading environments. Direct derivatives knowledge is helpful, but strong engineering capability is the bigger priority.
What you will do:
- Design and build core platform components including pricing services, APIs, and data pipelines
- Develop scalable ingestion and processing systems for market, macro, and time-series data
- Build internal tooling that improves how analytics and trading signals are developed, tested, and deployed
- Own the full software lifecycle across design, coding, testing, monitoring, and continuous improvement
- Create performant screening and trade discovery tools
- Work closely with traders and quants to turn analytical requirements into production systems
- Improve observability, deployment processes, and developer experience across the platform
What you will need:
- Strong software engineering fundamentals across architecture, design, and quality practices
- 5+ years' experience in platform engineering, quant development, data engineering, or software engineering within financial services
- Strong Python experience in production environments
- Exposure to C++ or Rust would be beneficial for performance-sensitive components
- Experience building data infrastructure such as APIs, pipelines, and time-series systems
- Good understanding of financial markets, ideally rates or derivatives
- Strong communication skills and ability to work across engineering, research, and trading stakeholders
Why consider it:
- High-impact role working directly on trading-critical systems
- Strong blend of engineering depth and business exposure
- Close collaboration with quants, traders, and portfolio managers
- Opportunity to shape a growing platform in a high-performing fintech environment
Contact Ciara Clarke at Harrington Starr with your CV for a confidential discussion.
Senior Quant Python Developer in London employer: LinkedIn
As a Senior Quant Python Developer at our innovative fintech firm in London, you'll thrive in a dynamic hybrid work environment that champions collaboration between engineering, trading, and research teams. We offer a culture of continuous learning and growth, with opportunities to shape cutting-edge analytics platforms while working on high-impact projects that directly influence trading strategies for top-tier clients. Join us to be part of a forward-thinking company that values your expertise and fosters a supportive atmosphere for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Python Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with trading systems. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your Python projects, make sure to share it. It’s a great way to demonstrate your engineering chops and stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your core software engineering principles. Practice coding challenges and be ready to discuss your past projects in detail—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Quant Python Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in platform engineering and Python development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about fintech and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills:Don’t forget to mention your experience with APIs, data pipelines, and any exposure to C++ or Rust. We’re looking for strong engineering fundamentals, so make sure these skills are front and centre in your application.
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. Let’s get started on this journey together!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other relevant technologies like C++ or Rust. Brush up on your understanding of APIs, data pipelines, and time-series systems. Being able to discuss your past projects and how they relate to the role will show your technical prowess.
✨Understand the Financial Landscape
Familiarise yourself with financial markets, especially derivatives, as this knowledge will be crucial in the interview. Be prepared to discuss how your engineering skills can directly impact trading strategies and analytics, demonstrating your ability to bridge the gap between tech and finance.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios or case studies during the interview. Think about how you would design a robust system for pricing or trade discovery. This will highlight your analytical thinking and ability to work under pressure, which is key in a fast-paced trading environment.
✨Communicate Effectively
Strong communication skills are essential, so practice articulating your thoughts clearly. Be ready to explain complex concepts in simple terms, as you’ll need to collaborate with traders and quants. Show that you can listen and adapt your ideas based on feedback from different stakeholders.
