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- Tasks: Enhance trading tools and collaborate on innovative solutions in a high-impact role.
- Company: A leading diversified trading firm based in London.
- Benefits: Dynamic work environment with opportunities for impactful projects and career growth.
- Why this job: Join a new team and make a real difference in trading technology.
- Qualifications: Over 3 years of Python experience and strong communication skills.
- Other info: Drive technical initiatives and accelerate workflows in a collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
A diversified trading firm in London seeks a Python Software Engineer to join a new team enhancing tools for Traders and Quantitative Researchers. You will manage technology needs for proprietary systems, accelerate workflows, and collaborate on innovative solutions in a high-impact role.
Ideal candidates possess:
- Over 3 years of experience
- Proficiency in modern Python standards
- Strong communication skills
This position offers a dynamic environment where you can drive impactful projects and lead technical initiatives.
Python Software Engineer — Trading Platform & Tools in London employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Software Engineer — Trading Platform & Tools in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with projects that highlight your Python prowess. It’s a great way to demonstrate your coding chops beyond the interview.
✨Tip Number 3
Prepare for those technical interviews! Brush up on algorithms and data structures, and be ready to solve problems on the spot. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it helps us keep track of your application better.
We think you need these skills to ace Python Software Engineer — Trading Platform & Tools in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with modern Python standards in your application. We want to see how you've used Python in real-world scenarios, especially in trading or quantitative research contexts.
Communicate Clearly: Strong communication skills are key for us. When writing your application, be clear and concise about your experiences and how they relate to the role. We love candidates who can articulate their thoughts well!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Python Software Engineer role. Show us why you’re the perfect fit for our team and how you can enhance our tools for traders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DRW
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss modern Python standards and showcase your experience with relevant libraries or frameworks. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Trading Domain
Familiarise yourself with trading concepts and tools that traders and quantitative researchers use. This knowledge will not only impress your interviewers but also help you understand the context of the role better, allowing you to ask insightful questions.
✨Showcase Your Communication Skills
Since strong communication is key for this role, practice articulating your thoughts clearly and concisely. Be ready to explain your past projects and how you collaborated with others, as this will highlight your ability to work in a team-oriented environment.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and coding proficiency. Review common algorithms and data structures, and be ready to tackle real-world scenarios related to trading platforms. This will show your readiness to take on high-impact projects.
