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- Tasks: Implement trading strategies and develop algorithms for data visualisation.
- Company: Dynamic trading firm at the forefront of finance technology.
- Benefits: Competitive salary, collaborative culture, and exposure to cutting-edge tech.
- Why this job: Join a fast-paced environment and make an impact in finance with innovative solutions.
- Qualifications: Bachelor's degree in a relevant field and strong skills in modern C++ and Python.
- Other info: Exciting opportunity for career growth in a thriving industry.
The predicted salary is between 28800 - 48000 £ per year.
A diversified trading firm is seeking a Research Engineer to join its systematic research team. The role involves implementing trading strategies, developing algorithms, and designing software for data visualization.
Candidates should have a Bachelor's degree in a relevant field and strong skills in modern C++ and Python. This opportunity offers a chance to work with cutting-edge technology in a collaborative environment.
Quantitative Research Engineer – Fast-Paced Finance in London employer: DRW Holdings, LLC.
Contact Detail:
DRW Holdings, LLC. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Engineer – Fast-Paced Finance in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C++ and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and algorithm questions. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Quantitative Research Engineer – Fast-Paced Finance in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with modern C++ and Python in your application. We want to see how you've used these skills in real-world projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific trading strategies or algorithms you’ve worked on that relate to the job description. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: We encourage you 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. Plus, it’s super easy!
How to prepare for a job interview at DRW Holdings, LLC.
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Python skills before the interview. Be ready to discuss specific projects where you've implemented algorithms or developed software, as this will show your practical experience and understanding of the technologies involved.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or coding challenges during the interview. Practise solving problems on platforms like LeetCode or HackerRank, focusing on algorithm design and data structures, as this will demonstrate your analytical thinking and ability to work under pressure.
✨Understand the Trading Landscape
Familiarise yourself with the basics of trading strategies and market dynamics. Being able to discuss how your research can impact trading decisions will impress the interviewers and show that you're genuinely interested in the role and the industry.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team’s current projects or the technologies they use. This not only shows your enthusiasm for the position but also helps you gauge if the company culture and work environment align with your career goals.
