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- Tasks: Create innovative AI solutions for trading platforms and enhance existing IT systems.
- Company: Pioneering wealth tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, growth opportunities, and a collaborative work culture.
- Why this job: Join a dynamic team and shape the future of trading technology with AI.
- Qualifications: Strong programming skills in Python, Java, or C++, plus machine learning knowledge.
- Other info: Exciting career growth in a fast-paced, innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
A pioneering wealth tech company in Greater London is seeking an AI Developer to drive innovative AI-driven solutions across operations.
Responsibilities include:
- Assessing existing IT systems
- Integrating AI/ML into trading platforms
- Developing algorithms for data preprocessing and model evaluation
Candidates should have strong programming skills in Python, Java, or C++, and an understanding of machine learning techniques.
This dynamic role offers growth opportunities in a culture that promotes innovation and teamwork.
AI Developer for Brokerage Tech & Trading Platforms employer: EXANTE
Contact Detail:
EXANTE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer for Brokerage Tech & Trading Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, algorithms, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your programming skills in Python, Java, or C++. Be ready to discuss machine learning techniques and how you've applied them in real-world scenarios. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. It shows initiative and gives us a chance to see your enthusiasm for the role.
We think you need these skills to ace AI Developer for Brokerage Tech & Trading Platforms
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python, Java, or C++. We want to see how you can integrate AI/ML into trading platforms, so don’t hold back on showcasing your experience!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your understanding of machine learning techniques and how they relate to the role. This shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
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 this exciting opportunity in our innovative team.
How to prepare for a job interview at EXANTE
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills in Python, Java, or C++. Be ready to discuss specific projects where you've integrated AI/ML into systems. This shows you're not just familiar with the tech but have hands-on experience.
✨Understand the Brokerage Landscape
Familiarise yourself with the latest trends in brokerage technology and trading platforms. Being able to discuss how AI can enhance these areas will demonstrate your passion and knowledge about the industry.
✨Prepare for Technical Questions
Expect questions on machine learning techniques and algorithms. Practice explaining complex concepts in simple terms, as this will showcase your understanding and ability to communicate effectively with team members.
✨Showcase Your Team Spirit
Since the role emphasises teamwork, be prepared to share examples of how you've collaborated with others in past projects. Highlighting your ability to work well in a dynamic environment will resonate with the company's culture.
