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- Tasks: Optimise trading processes and build Python-based services in a dynamic team.
- Company: Global energy trading firm in Greater London with a focus on innovation.
- Benefits: Competitive health insurance, parental leave, and tuition reimbursement.
- Why this job: Make a real impact on trading with cutting-edge cloud-native solutions.
- Qualifications: Strong programming skills, SQL proficiency, and familiarity with DevOps practices.
- Other info: Join a dynamic environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A global energy trading firm in Greater London is looking for a talented associate to join their Data Science & Technology team. This role involves optimizing trading processes, building Python-based services, and developing cloud-native solutions that impact trading directly.
Ideal candidates will have a strong programming background, proficiency in SQL, and familiarity with DevOps practices.
Benefits include competitive health insurance, parental leave, and tuition reimbursement, making it an attractive opportunity to further your career in a dynamic environment.
Front Office Software Engineer: Trading Analytics & Cloud employer: Castleton Commodities International, LLC
Contact Detail:
Castleton Commodities International, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Software Engineer: Trading Analytics & Cloud
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and might just land us a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects, especially those related to trading analytics or cloud solutions. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on common technical interview questions related to SQL and DevOps. We can even do mock interviews with friends to build confidence and refine our answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role of Front Office Software Engineer.
We think you need these skills to ace Front Office Software Engineer: Trading Analytics & Cloud
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming background and any relevant experience with Python and SQL. We want to see how your skills can optimise trading processes, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your experience aligns with building cloud-native solutions and DevOps practices. It shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to our team.
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 from us!
How to prepare for a job interview at Castleton Commodities International, LLC
✨Know Your Tech Stack
Make sure you brush up on your Python skills and SQL knowledge. Be ready to discuss how you've used these technologies in past projects, especially in relation to trading analytics or cloud solutions.
✨Understand the Trading Environment
Familiarise yourself with the basics of energy trading and how technology plays a role in optimising processes. This will show your potential employer that you're not just a tech whiz but also understand the industry context.
✨Showcase Your DevOps Knowledge
Since familiarity with DevOps practices is key, be prepared to talk about any experience you have with CI/CD pipelines, containerisation, or cloud services. Highlight specific tools you've used and how they improved your workflow.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies and how the Data Science & Technology team contributes to them. This demonstrates your genuine interest in the role and helps you assess if it's the right fit for you.
