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- Tasks: Develop predictive models and deliver actionable market insights in trading analytics.
- Company: Join a leading oil and gas trading business in Greater London.
- Benefits: Competitive salary and the chance to work on impactful projects.
- Other info: Challenging role with opportunities for growth in a dynamic industry.
- Why this job: Make a real difference in trading analytics with your quantitative skills.
- Qualifications: Strong quantitative skills, Python proficiency, and SQL Server DBA experience.
The predicted salary is between 60000 - 80000 £ per year.
Radley James is seeking an ambitious Trading Analyst in Greater London. You will develop predictive models, improve database performance, and deliver actionable market insights.
The role requires:
- Strong quantitative skills
- Proficiency in Python
- DBA experience with SQL Server
Familiarity with data visualization tools and experience in financial services are preferred. This position offers a challenging opportunity within a leading oil and gas trading business.
Trading Analytics Engineer in London employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and analytics space 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 predictive models and data visualisations. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL Server, and any data visualisation tools you've used. Practice common interview questions related to trading analytics.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Trading Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative skills and any experience you have with Python and SQL Server. We want to see how you can bring your technical expertise to the table!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Trading Analytics Engineer role. We love seeing how you connect your experience to what we’re looking for.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re the perfect fit for us in the oil and gas trading sector.
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 our team!
How to prepare for a job interview at Radley James
✨Know Your Numbers
Brush up on your quantitative skills before the interview. Be ready to discuss specific models you've developed or worked with, and how they impacted decision-making. This will show your analytical prowess and relevance to the role.
✨Python Proficiency is Key
Make sure you can confidently talk about your experience with Python. Prepare examples of projects where you've used Python for data analysis or predictive modelling. If you can, bring along a small code snippet to demonstrate your skills.
✨SQL Server Savvy
Since DBA experience with SQL Server is crucial, be prepared to answer technical questions about database performance and optimisation. Think of scenarios where you've improved database efficiency and be ready to explain your thought process.
✨Visualise Your Insights
Familiarity with data visualisation tools is a plus, so have examples ready of how you've used these tools to present market insights. Discuss how your visualisations helped stakeholders make informed decisions in the financial services sector.