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- Tasks: Help traders analyse and visualise trading activities while developing user-friendly interfaces.
- Company: Join a dynamic trading firm at the forefront of technology and finance.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with exposure to cutting-edge trading technologies.
- Why this job: Make a real impact in trading by using AI and modern ML tools.
- 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 employer: Swisslinx
Contact Detail:
Swisslinx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer
✨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 land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to trading systems or data analysis. We want to see your coding chops in action, so make sure to highlight any relevant experience with Python or React.js.
✨Tip Number 3
Prepare for the technical interview! Brush up on your algorithms and data structures, and be ready to discuss your past projects in detail. We’re looking for candidates who can think on their feet and solve problems under pressure.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quant Developer
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 match our needs!
Showcase Relevant Projects: Include any projects that demonstrate your ability to work in a fast-paced trading environment. If you've done empirical research or back testing, let us know! We love seeing practical applications of your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about trading and how your background makes you a great fit for our team. We appreciate a personal touch that shows your enthusiasm for the role.
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 it gets into the right hands. We can’t wait to see what you bring to the table!
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 the past. They’ll likely ask you to solve a problem on the spot, so practice coding challenges beforehand!
✨Understand the Trading Environment
Familiarise yourself with financial markets, especially if you have experience in crypto, FX, or futures trading. Be prepared to discuss how trading workflows operate and how your technical skills can enhance trading activities. Showing that you understand the context of your work will set you apart.
✨Showcase Your Problem-Solving Skills
Be ready to talk about specific projects where you’ve had to balance theory with practical implementation under real-time constraints. Use examples from your past experiences to illustrate how you’ve tackled challenges in a fast-paced environment.
✨Highlight Your Research Experience
Discuss any empirical research or back testing you’ve done using historical and real-time data. If you’ve worked with machine learning tools or AI, make sure to mention how these have improved your projects. This shows you’re not just a coder but also someone who can leverage advanced tools for better outcomes.