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- Tasks: Enhance trading processes by building high-performance Python services and cloud-native tools.
- Company: Global leader in energy trading with a focus on innovation.
- Benefits: Competitive benefits and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in energy trading analytics.
- Qualifications: Expertise in programming, SQL, and DevOps; experience in energy trading preferred.
- Other info: Ideal for problem solvers looking to innovate in a fast-paced environment.
The predicted salary is between 54000 - 84000 £ per year.
A global leader in energy trading seeks a Senior Front Office Software Engineer to enhance trading processes and analytics. This role involves building high-performance Python services and cloud-native tools to support traders, requiring expertise in programming, SQL, and DevOps practices. Candidates with experience in energy trading and strong problem-solving skills are preferred. Competitive benefits and opportunities for innovation are offered.
Senior Front Office Trading Analytics Engineer in London employer: Castleton Commodities International
Contact Detail:
Castleton Commodities International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Front Office Trading Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy trading sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading analytics. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and DevOps knowledge, and be ready to solve real-world problems on the spot. We love seeing how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for innovative minds to join our team.
We think you need these skills to ace Senior Front Office Trading Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming expertise, especially in Python and SQL. We want to see how your skills can enhance our trading processes, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Front Office Trading Analytics Engineer role. We love seeing candidates who take the time to align their experience with what we’re looking for.
Problem-Solving Examples: Include examples of how you've tackled complex problems in your previous roles. We value strong problem-solving skills, especially in the context of energy trading, so share your success stories!
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 this exciting opportunity!
How to prepare for a job interview at Castleton Commodities International
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand how to build high-performance services. Be ready to discuss your previous projects and how you’ve used SQL and DevOps practices to solve real-world problems.
✨Understand the Energy Trading Landscape
Familiarise yourself with the energy trading sector. Knowing the latest trends and challenges in this field will show that you're not just a tech whiz but also someone who understands the business side of things.
✨Prepare for Problem-Solving Questions
Expect to tackle some tricky problem-solving scenarios during the interview. Practice explaining your thought process clearly, as this will demonstrate your analytical skills and ability to think on your feet.
✨Show Your Innovative Side
This role is all about enhancing processes, so come prepared with ideas on how you could innovate within the trading analytics space. Share examples of how you've implemented new tools or processes in the past to improve efficiency.
