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- Tasks: Help traders analyse and visualise trading activities using innovative pricing models.
- Company: Dynamic financial tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Ideal for those with a passion for finance and gaming dynamics.
- Why this job: Join a cutting-edge team and make an impact in the fast-paced world of trading.
- Qualifications: 3+ years in software development, strong Python and TypeScript/React.js skills.
The predicted salary is between 60000 - 80000 £ per year.
A financial technology company in Greater London is seeking an experienced Software Developer to assist traders in analyzing and visualizing trading activities. You will work on integrating innovative pricing models and contribute to the core trading infrastructure, requiring at least 3 years of software development experience in a fast-paced trading environment.
Ideal candidates will possess strong skills in Python and TypeScript/React.js, alongside a solid understanding of financial markets. Familiarity with trading dynamics is essential and experience in gaming/gambling is highly preferred.
Quant Developer - Trading Analytics & ML-Powered Infra employer: Swisslinx AG
Contact Detail:
Swisslinx AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Trading Analytics & ML-Powered Infra
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech scene, especially those who work with trading analytics. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and TypeScript/React.js. This is your chance to demonstrate your coding chops and understanding of financial markets in a way that a CV just can't.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Since you're aiming for a role in trading analytics, be ready to discuss how you would tackle real-world problems traders face.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Quant Developer - Trading Analytics & ML-Powered Infra
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and TypeScript/React.js in your application. We want to see how your skills can contribute to our trading analytics and infrastructure!
Know Your Stuff: Demonstrate your understanding of financial markets and trading dynamics. We’re looking for candidates who can integrate innovative pricing models, so share any relevant experiences you have!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Quant Developer role. We appreciate when candidates take the time to connect their background to what we do.
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 don’t miss out on any important updates from our 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 specific projects where you've used these technologies, especially in a trading context.
✨Understand Financial Markets
Familiarise yourself with the basics of financial markets and trading dynamics. Be prepared to discuss how your technical skills can enhance trading analytics and infrastructure, showing that you understand the bigger picture.
✨Showcase Relevant Experience
If you have experience in gaming or gambling, highlight it! Discuss how those experiences can translate into the trading environment, particularly in terms of analytics and user engagement.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges and be ready to explain your thought process clearly, as this will demonstrate your analytical skills and approach to real-world trading problems.