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For Companies At a Glance
- Tasks: Create advanced AI solutions to boost trading and risk management.
- Company: Leading organisation in the finance sector with a focus on innovation.
- Benefits: Competitive salary, relocation support, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the world of finance.
- Qualifications: Expertise in Python, machine learning, and a degree in Data Science or related field.
- Other info: Exciting opportunity to work in Saudi Arabia with a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading organization is seeking a Data Scientist (AI Specialist) to deliver advanced AI and data-science solutions that enhance trading performance, risk management, and operational efficiency.
The role requires strong expertise in Python and machine learning, along with a proven track record in deploying models to production.
A Bachelor’s or Master’s degree in Data Science or a related field is needed.
This position is based in Saudi Arabia, with competitive compensation and relocation support.
AI Data Scientist for Trading & Risk — Relocation Support in London employer: PE Global
Contact Detail:
PE Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist for Trading & Risk — Relocation Support in London
✨Tip Number 1
Network like a pro! Connect with professionals in the trading and risk management sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to trading and risk. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and machine learning knowledge. Be ready to discuss how you've deployed models in production and the impact they had on performance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you, and we want to see your application come through.
We think you need these skills to ace AI Data Scientist for Trading & Risk — Relocation Support in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and machine learning in your application. We want to see how you've used these skills in real-world scenarios, especially in trading or risk management.
Tailor Your CV: Don’t just send a generic CV! Tailor it to the job description by emphasising relevant experience and projects. We love seeing how your background aligns with what we’re looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data science, and how you can contribute to enhancing trading performance and operational efficiency at our company.
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 during the process!
How to prepare for a job interview at PE Global
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss specific algorithms you've used, how they apply to trading and risk management, and any challenges you've faced in deploying models to production.
✨Showcase Your Python Skills
Since strong expertise in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data manipulation and model deployment.
✨Prepare Real-World Examples
Think of concrete examples from your past work where you've successfully enhanced trading performance or improved operational efficiency. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Understand the Company’s Needs
Research the organisation thoroughly. Understand their trading strategies, risk management practices, and how they leverage AI. Tailor your answers to show how your skills can directly benefit their operations.
