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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 employer: Swisslinx AG
Contact Detail:
Swisslinx AG 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 help you land 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 Python and TypeScript/React.js, so make sure to highlight any relevant work you've done.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios. The more practice, the better!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 align with our needs!
Showcase Relevant Experience: When writing your application, focus on your hands-on experience in trading environments. Share specific examples of projects where you've contributed to trading infrastructure or worked with traders. This helps us see your practical knowledge in action.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. 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. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Swisslinx AG
✨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 for examples, so have a couple of projects in mind that showcase your abilities.
✨Understand the Trading Environment
Familiarise yourself with financial markets, especially crypto, FX, or futures trading. Be prepared to discuss order book dynamics and liquidity provision. Showing that you understand the trading workflows will set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Be ready to talk about how you’ve tackled real-time constraints in previous roles. They want someone who can balance theory with practical implementation, so think of specific instances where you delivered effective solutions under pressure.
✨Highlight Your Research Experience
Since empirical research and back testing are key parts of the role, come prepared to discuss your experience with data analysis and statistical learning. Mention any hands-on experience you have in a trading firm or similar environment, as this will demonstrate your capability to contribute immediately.