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: MindMatch
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 team where your contributions are valued and rewarded.
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 your connections in the fintech space, especially those who work with trading and analytics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨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 platform engineering chops in a way that a CV just can't capture.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of financial markets. Practice common quant problems and be ready to discuss how you've tackled challenges in past roles. We want to see your thought process!
✨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, it shows you're genuinely interested in joining our team and contributing to our exciting projects.
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 reflects the skills and experiences that align with the Senior Python Quant Developer role. Highlight your strong software engineering fundamentals and any relevant experience in platform engineering or quant development.
Showcase Your Projects:Include specific examples of projects where you've designed and built core platform components or developed scalable systems. This will help us see your hands-on experience and how you can contribute to our analytics platform.
Communicate Clearly:Strong communication skills are key in this role. When writing your application, be clear and concise about your experiences and how they relate to working closely with traders and quants. We want to know how you can bridge the gap between engineering and trading.
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 your enthusiasm for joining our team!
How to prepare for a job interview at MindMatch
✨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 the financial markets, especially derivatives. Being able to discuss your past projects and how they relate to the role will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think about scenarios where you improved system performance or reliability. This will demonstrate your engineering instincts and ability to thrive in fast-paced environments.
✨Communicate Effectively
Since this role involves collaboration with traders and quants, practice articulating complex technical concepts in a way that’s easy for non-technical stakeholders to understand. Good communication can set you apart, so be ready to explain your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s analytics platform and its future direction. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. It’s also a great way to demonstrate your knowledge of the industry.
