At a Glance
- Tasks: Create and enhance full-stack applications using AI technologies.
- Company: Join EXANTE, a pioneering wealth tech company revolutionising trading solutions.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for growth.
- Why this job: Be at the forefront of financial technology and make a real difference.
- Qualifications: Experience in full-stack development and a passion for AI.
- Other info: Dynamic team environment with endless learning opportunities.
The predicted salary is between 30000 - 42000 £ per year.
EXANTE is a pioneering wealth tech company that delivers cutting-edge centralized trading solutions and robust B2B financial infrastructure, driving value through innovative technology. Our proprietary trading platform offers seamless access to diverse financial instruments— including stocks, ETFs, bonds, futures, and options— all within a single, multi-currency.
Full Stack AI Developer in London employer: EXANTE
Contact Detail:
EXANTE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack AI Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow developers. You never know who might have the inside scoop on job openings at EXANTE or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and full-stack development. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and genuinely interested in joining our team.
We think you need these skills to ace Full Stack AI Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Full-Stack AI Developer role. Highlight any relevant projects or technologies you've worked with that match what EXANTE is looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about wealth tech and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've got any side projects or contributions to open-source that demonstrate your full-stack capabilities, don’t hesitate to include them. We love seeing practical examples of your work!
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’s super easy!
How to prepare for a job interview at EXANTE
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your knowledge of full-stack development, especially around AI and trading platforms. Being able to discuss specific tools and frameworks will show that you’re not just familiar but passionate about the role.
✨Understand the Company’s Vision
Research EXANTE and their approach to wealth tech. Familiarise yourself with their trading solutions and how they leverage technology to drive value. This will help you align your answers with their goals and demonstrate that you’re genuinely interested in contributing to their mission.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and coding abilities. Practice coding challenges related to AI and full-stack development. Use platforms like LeetCode or HackerRank to sharpen your skills and be ready to showcase your thought process during the interview.
✨Showcase Your Projects
Bring examples of your previous work, especially any projects related to AI or trading systems. Be prepared to discuss the challenges you faced, the solutions you implemented, and the impact of your work. This not only highlights your experience but also your ability to apply your skills in real-world scenarios.