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- Tasks: Develop quantitative models and analytics tools for trading strategies.
- Company: Leading global investment firm with a focus on commodities.
- Benefits: Competitive compensation and professional growth opportunities.
- Why this job: Join a dynamic team at the forefront of quantitative trading.
- Qualifications: Strong Python programming skills and a relevant technical degree.
- Other info: Exciting environment with opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading global investment firm is looking for a Quant Developer to join their commodities team in London. This role involves developing quantitative models and analytics tools to enhance trading strategies and performance.
Candidates should have a strong background in Python programming and a relevant degree in a technical field.
Join a dynamic environment at the forefront of quantitative trading, offering competitive compensation and professional growth opportunities.
Quant Developer: Commodities Trading & Analytics employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer: Commodities Trading & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities trading space on LinkedIn or at industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to quantitative models or analytics tools. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in quantitative finance. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents directly to us. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Quant Developer: Commodities Trading & Analytics
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see how you've used it in real-world scenarios, especially in developing models or tools related to trading.
Tailor Your CV and Cover Letter: Don’t just send a generic CV! We love seeing applications that are tailored to the Quant Developer role. Mention specific projects or experiences that relate to commodities trading and analytics.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and enthusiasm for the role.
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 in our commodities team!
How to prepare for a job interview at Selby Jennings
✨Know Your Quantitative Models
Make sure you brush up on the quantitative models relevant to commodities trading. Be prepared to discuss how you've applied these models in past projects or how you would approach developing new ones.
✨Show Off Your Python Skills
Since Python programming is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Understand the Trading Environment
Familiarise yourself with the current trends in commodities trading. Being able to discuss recent market movements or analytics tools will show that you're not just technically skilled but also aware of the industry landscape.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their trading strategies, team dynamics, and growth opportunities. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
