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- Tasks: Help traders analyse and visualise trading activities while developing user-friendly interfaces.
- Company: Dynamic trading firm at the forefront of technology and finance.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Ideal for those passionate about finance, tech, and innovation.
- Why this job: Join a fast-paced environment and make a real impact in trading technology.
- Qualifications: Degree in Computer Science or Engineering with strong Python and React.js skills.
The predicted salary is between 60000 - 80000 £ per year.
Help traders to analyze and visualize their trading activities.
Work with trading and engineering to prototype, test, and integrate pricing and quoting models.
Contribute to core trading infrastructure: data ingestion, analytics, and monitoring.
Perform empirical research, back testing, and performance analysis using historical and real-time trading data.
Design, develop, and maintain user-friendly interfaces (UIs) for our analytical, monitoring and control applications.
Use AI and modern ML tools (including LLMs) to accelerate development, improve prediction, and enrich tooling.
Requirements
- Undergraduate or Graduate Degree in Computer Science, Engineering, or a related field.
- At least 3 years or more of experience in software development, ideally in a high-paced trading environment.
- Strong software engineering skills in python and typescript/React.js with experience writing robust, performant and scalable code.
- Self-driven, motivated, responsible and highly responsive individual.
- Ability to work effectively in a fast-paced trading environment.
- Able to deliver working projects and solutions effectively and quickly.
- Basic understanding of financial markets and trading workflows.
- Able to balance theory with practical implementation under real-time constraints.
Preferred / Desirable Experience
- Familiarity with crypto, FX, or futures trading and market making.
- Familiarity with pricing models and risk analytics.
- Understanding of order book dynamics, liquidity provision, and latency-sensitive systems.
- Practical experience with data analysis, time series, and statistical learning.
- Hands-on experience in a trading firm, hedge fund, or market-making environment, ideally with exposure to traders or risk managers.
- Exposure to cloud computing, containers (Docker), or distributed systems.
- Working knowledge of machine learning, AI assistants, and/or LLM integration for code generation, data summarization, or signal extraction.
Wishes
If you have experience/background working in the area of gaming/gambling this is highly preferred.
Quant Developer in London employer: Swisslinx
Contact Detail:
Swisslinx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading or finance. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of financial markets. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. It shows initiative and enthusiasm!
We think you need these skills to ace Quant Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Quant Developer role. Highlight your software engineering skills in Python and TypeScript/React.js, and don’t forget to mention any experience in trading environments!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading and how your background makes you a perfect fit for our team. Be sure to mention any relevant projects or experiences that showcase your abilities.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving data analysis or trading systems, make sure to include them. We love seeing practical examples of your work, so don’t hold back!
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 Swisslinx
✨Know Your Tech Stack
Make sure you’re well-versed in Python and TypeScript/React.js. Brush up on your coding skills and be ready to discuss how you've written robust, performant code in past projects. They’ll likely want to see how you can apply these skills in a trading environment.
✨Understand the Trading Landscape
Familiarise yourself with financial markets, especially if you have experience in crypto, FX, or futures trading. Be prepared to discuss order book dynamics and liquidity provision, as this knowledge will show you understand the context of your role.
✨Showcase Your Problem-Solving Skills
Be ready to talk about specific challenges you've faced in previous roles and how you tackled them. Highlight any empirical research or back testing you've done, as well as how you’ve used AI and ML tools to enhance your work.
✨Demonstrate Your Team Spirit
Since collaboration with traders and engineers is key, share examples of how you’ve worked effectively in fast-paced environments. Emphasise your self-driven nature and how you balance theory with practical implementation under real-time constraints.