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- Tasks: Design and implement quantitative pricing models and develop automated hedging algorithms.
- Company: Join a leading global institutional liquidity provider in digital assets and finance.
- Benefits: Competitive salary, bi-annual bonuses, and opportunities for professional growth.
- Other info: Collaborative team environment bridging traditional finance and digital assets.
- Why this job: Make a real impact on trading strategies and work at the cutting edge of finance.
- Qualifications: 5+ years in Java, advanced Python skills, and a strong maths or finance background.
The predicted salary is between 80000 - 100000 £ per year.
We’re partnering with a global institutional liquidity provider at the forefront of digital assets and traditional finance. This is a rare opportunity to join a high-performing OTC pricing team, working at the intersection of quantitative research and production engineering, building systems that directly impact pricing, liquidity, and trading strategies across global markets.
As a Senior Quant Developer, you’ll operate as a true hybrid between Quant Research and Engineering — designing models and owning their production implementation. You’ll work across a dual-language stack:
- Python for research, modelling, and data analysis
- Java for building high-performance, distributed pricing systems
Responsibilities include:
- Flow analysis
- Design and implement quantitative pricing and hedging models within a high-performance Java framework
- Develop automated hedging algorithms balancing execution risk and liquidity
- Analyse client flow and toxicity to improve pricing performance
Requirements:
- Strong experience in Java (5+ years) — high-performance, distributed systems
- Advanced Python skills (NumPy, Pandas, SciPy) for quantitative modelling
- Experience applying numerical optimisation or machine learning to trading/pricing problems
- Strong academic foundation in Mathematics, Physics, or Quant Finance
- Exposure to AWS, Docker, Kubernetes
- Knowledge of derivatives pricing and risk (futures, forwards, CFDs, NDFs)
Join a team bridging traditional finance and digital assets. Competitive salary + bi-annual bonus structure. If you’re a Quant Developer who enjoys building as much as modelling, and want to work on real-world trading systems at scale — this is one to explore.
Senior Python Ontwikkelaar in London employer: Albert Bow
Contact Detail:
Albert Bow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Ontwikkelaar in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and Java projects, especially those related to quantitative modelling or trading systems. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges that focus on quantitative problems, as this will help you shine during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Python Ontwikkelaar in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Java, especially in quantitative modelling and high-performance systems. We want to see how your skills align 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 this opportunity and how your background in quantitative finance and engineering makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using numerical optimisation or machine learning. We love seeing how you approach challenges, especially in trading or pricing contexts!
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 you’re keen on joining our team!
How to prepare for a job interview at Albert Bow
✨Know Your Tech Stack
Make sure you’re well-versed in both Python and Java, as they’re crucial for this role. Brush up on your skills with NumPy, Pandas, and SciPy for Python, and be ready to discuss high-performance distributed systems in Java.
✨Showcase Your Quant Skills
Prepare to talk about your experience with quantitative modelling and any numerical optimisation or machine learning projects you've worked on. Be ready to explain how these skills can directly impact pricing and trading strategies.
✨Understand the Business
Familiarise yourself with derivatives pricing and risk management concepts. Knowing how futures, forwards, CFDs, and NDFs work will help you stand out and show that you understand the financial landscape.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.