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- Tasks: Develop Python tools and optimise quantitative models for commodities trading.
- Company: Global systematic trading firm with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and turn data insights into impactful trading strategies.
- Qualifications: 5+ years in software development and strong Python skills required.
- Other info: Collaborative environment with a focus on market complexities.
The predicted salary is between 43200 - 72000 £ per year.
A global systematic trading firm is seeking a Quantitative Developer to support its commodities trading team. You'll focus on developing Python tools, building data pipelines for various commodities data, and optimizing quantitative models.
Candidates should have 5+ years in software development, strong Python skills, and an interest in market complexities. This role offers an opportunity to work closely with researchers to turn data insights into actionable strategies.
Quant Developer – Commodities Data & Trading Tools employer: Vertus Partners
Contact Detail:
Vertus Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer – Commodities Data & Trading Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the commodities trading space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to data pipelines or quantitative models. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding market complexities. We recommend practicing common algorithms and data structures, as well as being ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quant Developer – Commodities Data & Trading Tools
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in past projects, especially in developing tools or data pipelines. Don't hold back on showcasing your coding prowess!
Demonstrate Your Experience: With 5+ years in software development, it's crucial to detail your relevant experience. We’re looking for specific examples of how you've tackled market complexities and contributed to trading strategies. Be clear and concise!
Connect with Our Mission: Let us know why you're interested in working with our commodities trading team. Share your passion for quantitative development and how you can contribute to turning data insights into actionable strategies. We love a good story!
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 any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Vertus Partners
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve complex problems, especially in relation to data pipelines and quantitative models.
✨Understand Commodities Trading
Familiarise yourself with the basics of commodities trading and the market complexities involved. This will not only help you answer questions more effectively but also show your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions that assess your software development experience. Practice coding challenges and be prepared to explain your thought process while solving problems, as this will demonstrate your analytical skills.
✨Showcase Collaboration Skills
Since you'll be working closely with researchers, highlight any past experiences where you've collaborated with others to turn data insights into actionable strategies. This will show that you're a team player and can communicate effectively.
