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- Tasks: Help traders analyse and visualise trading activities using cutting-edge tech.
- Company: Join a dynamic trading firm at the forefront of financial technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exposure to traders and market-making.
- Why this job: Make a real impact in trading with innovative tools and technologies.
- Qualifications: Degree in Computer Science or Engineering; 3+ years in software development.
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.
- 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 AG
Contact Detail:
Swisslinx AG 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. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading systems or data analysis. We love seeing practical examples of your work, so make sure to highlight any relevant experience.
✨Tip Number 3
Prepare for the interview like it’s a big game day! Brush up on your knowledge of financial markets and trading workflows. We want to see that you can balance theory with practical implementation, so be ready to discuss real-time scenarios.
✨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’re always on the lookout for passionate candidates who are eager to join our team.
We think you need these skills to ace Quant Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quant Developer role. Highlight your experience in software development, especially with Python and TypeScript/React.js. We want to see how your skills align with our needs!
Showcase Relevant Experience: When writing your application, emphasise any hands-on experience you've had in trading environments. If you've worked with traders or risk managers, let us know! This will help us see how you can contribute to our team.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Swisslinx AG
✨Know Your Tech Stack
Make sure you brush up on your Python and TypeScript/React.js skills. Be ready to discuss specific projects where you've written robust, performant code. They’ll want to see how you can apply your technical knowledge in a fast-paced trading environment.
✨Understand the Trading Landscape
Familiarise yourself with financial markets, especially crypto, FX, or futures trading. Be prepared to talk about order book dynamics and liquidity provision. Showing that you understand these concepts will set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-time constraints in previous roles. Discuss any empirical research or back testing you've done, and how it led to improved performance analysis. This will demonstrate your ability to balance theory with practical implementation.
✨Highlight Your AI and ML Experience
If you've worked with machine learning tools or AI assistants, make sure to mention it! Talk about how you've integrated these technologies into your projects to enhance development and prediction. This is a key area they’re interested in, so don’t hold back!