At a Glance
- Tasks: Build and support high-performance C++ applications for global trading.
- Company: Dynamic trading firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Join a cutting-edge team and make an impact in global trading technology.
- Qualifications: Extensive C++ experience and strong Python skills required.
- Other info: Enjoy autonomy in a fast-paced, innovative work culture.
The predicted salary is between 36000 - 60000 £ per year.
A diversified trading firm is seeking a Software Engineer for its Market Data team. The role involves building and supporting a C++ technology stack for global trading operations. Candidates must have extensive experience with high-performance C++ applications, along with strong Python skills.
Responsibilities include:
- Designing full-stack software systems
- Collaborating with traders and researchers
This position offers an innovative work environment where autonomy and rigorous standards are valued.
Market Data Software Engineer (C++/Python) — Global Trading employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Software Engineer (C++/Python) — Global Trading
✨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! Build a small project or contribute to open-source software using C++ or Python. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get in the zone.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance of standing out in the crowd.
We think you need these skills to ace Market Data Software Engineer (C++/Python) — Global Trading
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with C++ and Python in your application. We want to see how you've used these languages in high-performance applications, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to building full-stack software systems, as this will show us you’re a great fit for our Market Data team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured information that makes it easy for us to see your qualifications and how you can contribute to our innovative environment.
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 Tech Stack
Make sure you brush up on your C++ and Python skills before the interview. Be ready to discuss your experience with high-performance applications and how you've tackled challenges in past projects. This will show that you’re not just familiar with the tech, but that you can also apply it effectively.
✨Understand the Trading Environment
Familiarise yourself with the basics of global trading operations. Knowing how market data flows and the role of software in trading can give you an edge. It’ll help you connect your technical skills to the needs of the traders and researchers you'll be collaborating with.
✨Prepare for Problem-Solving Questions
Expect to face some technical problem-solving questions during the interview. Practice coding problems in C++ and Python, focusing on algorithms and data structures. Being able to think on your feet and demonstrate your coding skills will impress the interviewers.
✨Show Your Collaborative Spirit
Since the role involves working closely with traders and researchers, be prepared to discuss examples of how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team projects, as this will align with the firm’s value of autonomy and rigorous standards.