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- Tasks: Design and develop full-stack systems for global trading operations.
- Company: Leading trading firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in quantitative research.
- Qualifications: Strong Python experience and ability to collaborate with researchers.
- Other info: Challenging role with opportunities for innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading trading firm is seeking a Software Engineer for their Cumberland Systematic team in London. You will design and develop full-stack systems for global trading operations. The ideal candidate will have strong Python experience and the ability to work independently while collaborating directly with quantitative researchers.
Key responsibilities include:
- Maintaining software and infrastructure necessary for quantitative research
- Integrating data from various sources
This role offers a challenging environment with opportunities for innovation.
Software Engineer, Research - Quantitative Data Systems in London employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Research - Quantitative Data Systems in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the trading firm on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to quantitative data systems. This gives you a chance to demonstrate your coding chops beyond the CV.
✨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 comfortable with problem-solving under pressure.
✨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 take that extra step!
We think you need these skills to ace Software Engineer, Research - Quantitative Data Systems in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python experience in your application. We want to see how you've used it in past projects, especially in full-stack development or quantitative research.
Collaborate Like a Pro: Since you'll be working closely with quantitative researchers, mention any collaborative projects you've been part of. We love seeing how you can work independently while still being a team player!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. We appreciate when candidates take the time to connect their background to our needs.
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 the role. Plus, it’s super easy!
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 past projects and how you've used Python in full-stack development. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand Quantitative Research
Familiarise yourself with the basics of quantitative research and how it applies to trading systems. Being able to speak knowledgeably about how data integration works and its importance in trading operations will show that you're not just a coder, but someone who understands the bigger picture.
✨Showcase Your Collaboration Skills
Since this role involves working closely with quantitative researchers, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve had to communicate complex technical concepts to non-technical team members.
✨Prepare Questions About Innovation
This role offers opportunities for innovation, so think of insightful questions to ask during the interview. Inquire about the current challenges the team faces and how they encourage new ideas. This shows your enthusiasm for contributing to their innovative environment.
