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- Tasks: Design and implement quantitative pricing models and automated hedging algorithms.
- Company: Global leader in digital assets and traditional finance.
- Benefits: Competitive salary, bi-annual bonuses, and a dynamic work environment.
- Other info: Opportunity to bridge traditional finance and digital assets with excellent career growth.
- Why this job: Join a high-performing team impacting global trading strategies with cutting-edge technology.
- Qualifications: 5+ years in Java, advanced Python skills, and strong mathematical foundation.
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 Ontwikkelaar (Python) in London employer: Albert Bow
Contact Detail:
Albert Bow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ontwikkelaar (Python) 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 on platforms like LeetCode or HackerRank to get comfortable with problem-solving under pressure.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout 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 Ontwikkelaar (Python) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Quant Developer role. Highlight your Python and Java expertise, along with any relevant projects or achievements in quantitative research and production engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the intersection of finance and technology. Mention specific experiences that demonstrate your ability to design models and implement them in production.
Showcase Your Technical Skills: Don’t just list your technical skills; provide examples of how you've used them in real-world scenarios. Whether it's developing automated hedging algorithms or analysing client flow, make sure we see your hands-on experience.
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 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 discuss your experience with quantitative modelling and numerical optimisation. Be ready to share specific examples of how you've applied these skills to trading or pricing problems in the past.
✨Understand the Business
Familiarise yourself with the concepts of derivatives pricing and risk management. Knowing how these elements impact trading strategies will show that you understand the bigger picture and can contribute effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This not only shows your interest but also gives you a chance to demonstrate your analytical thinking and problem-solving skills.