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- Tasks: Build innovative trading systems from concept to production in a fast-paced environment.
- Company: Global trading firm based in Greater London with a focus on collaboration.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in real-time trading markets.
- Qualifications: Strong Python skills and a Bachelor’s degree; experience in finance or crypto is a plus.
- Other info: Exciting opportunity to take ownership of products in a rapidly evolving industry.
The predicted salary is between 36000 - 60000 £ per year.
A global trading firm in Greater London is looking for a Software Engineer to join its Prediction Markets Desk. The successful candidate will build systems from idea to production trading, involving real-time pricing and trade lifecycle management.
The role requires strong Python skills and experience in fast-paced environments. Applicants should possess a Bachelor's degree, preferably with experience in the financial markets or crypto.
This is an opportunity to take ownership of innovative products and work in a collaborative environment.
Software Engineer, Prediction Markets - Real-Time Trading employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Prediction Markets - Real-Time Trading
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in trading or finance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to real-time systems or trading. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges that mimic real-world trading scenarios to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are eager to join us. It shows initiative and helps us get to know you better.
We think you need these skills to ace Software Engineer, Prediction Markets - Real-Time Trading
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially in fast-paced environments like trading or finance.
Tailor Your Experience: When you’re writing your application, connect your past experiences to the role. If you've worked on projects related to financial markets or crypto, let us know! We love seeing relevant experience.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit for the team!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 ready to discuss your previous projects and how you've used Python in real-time applications, especially in trading or financial contexts.
✨Understand the Trading Landscape
Familiarise yourself with the basics of financial markets and crypto. Being able to speak knowledgeably about market trends and trading strategies will show that you're not just a techie but also understand the business side of things.
✨Showcase Your Problem-Solving Skills
Prepare for technical questions that test your problem-solving abilities. Think through scenarios where you had to troubleshoot issues in fast-paced environments and be ready to explain your thought process.
✨Emphasise Collaboration
Since the role involves working in a collaborative environment, be prepared to discuss how you've worked effectively in teams. Share examples of how you contributed to group projects and how you handle feedback and communication.