At a Glance
- Tasks: Develop AI-powered analytics for pricing and risk in commodities trading.
- Company: Join a leading commodities trading house in London.
- Benefits: Hybrid work model, competitive pay, and opportunities for skill development.
- Why this job: Make an impact by working directly with traders and analysts on innovative projects.
- Qualifications: Expertise in Databricks, Spark, and financial data analysis required.
The predicted salary is between 60000 - 80000 £ per year.
X4 Technology is seeking a Contract AI Engineer to support a leading commodities trading house in London. This hybrid position involves working directly with traders and analysts to develop AI-powered analytics across pricing and risk.
The ideal candidate will have strong Databricks and Spark expertise along with a sound understanding of financial data analysis, CI/CD practices, and the ability to produce reliable, production-ready analytics rapidly.
London AI Trading Analytics Engineer (Commodities) employer: X4 Technology
X4 Technology is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a Contract AI Engineer in London, you will have the opportunity to work closely with traders and analysts, driving impactful AI-powered analytics in the commodities sector. With a strong focus on employee growth and a culture that values creativity and technical expertise, X4 Technology provides a unique platform for professionals looking to make a meaningful contribution in a thriving industry.
StudySmarter Expert Advice🤫
We think this is how you could land London AI Trading Analytics Engineer (Commodities)
✨Tip Number 1
Network like a pro! Reach out to professionals in the commodities trading space on LinkedIn. A friendly message can open doors and lead to referrals that might just land you that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Databricks and Spark projects. When you get that interview, having tangible examples of your work will make you stand out from the crowd.
✨Tip Number 3
Prepare for the technical grill! Brush up on your financial data analysis and CI/CD practices. Be ready to discuss how you've applied these in real-world scenarios during your interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace London AI Trading Analytics Engineer (Commodities)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Databricks and Spark. We want to see how your skills can directly contribute to developing AI-powered analytics for pricing and risk in commodities trading.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to align their experience with what we’re looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your relevant experience and achievements.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at X4 Technology
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks and Spark skills. Be ready to discuss how you've used these tools in past projects, especially in relation to financial data analysis. The more specific examples you can provide, the better!
✨Understand the Trading Environment
Familiarise yourself with the commodities trading landscape. Knowing how traders and analysts operate will help you tailor your answers and show that you can effectively collaborate with them. Research current trends in commodities to impress during the conversation.
✨Showcase Your CI/CD Knowledge
Since this role involves producing production-ready analytics, be prepared to talk about your experience with CI/CD practices. Share examples of how you've implemented these processes in previous roles to ensure smooth deployment and reliability.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially those related to AI-powered analytics. This will demonstrate your analytical skills and ability to think on your feet.
