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- Tasks: Implement research studies and develop algorithms for financial market competition.
- Company: A leading diversified trading firm in Greater London.
- Benefits: Full-time position with significant contributions to trading strategies.
- Why this job: Join a dynamic team and shape the future of trading technology.
- Qualifications: Bachelor's in Computer Science, strong C++ and Python skills required.
- Other info: Ideal for those passionate about quantitative finance and software development.
The predicted salary is between 36000 - 60000 £ per year.
A diversified trading firm located in Greater London is seeking a Research Engineer to implement research studies and develop algorithms for competing in financial markets. The role requires a Bachelor's degree in Computer Science or a related field, along with strong software development skills in modern C++ and Python. The ideal candidate will have a solid understanding of quantitative finance mathematics, as well as experience in multi-threaded applications. This is a full-time position at mid-senior level, offering opportunities to contribute significantly to the firm's trading strategies.
Research Engineer - Trading Systems & Data Tools in London employer: DRW
Contact Detail:
DRW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Trading Systems & Data Tools in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and finance sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in C++ and Python. Highlight any algorithms or tools you've developed that relate to trading systems. This will give you an edge when it comes to interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on quantitative finance concepts and multi-threaded applications. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Research Engineer - Trading Systems & Data Tools in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your software development skills in C++ and Python. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading systems and how your background in quantitative finance mathematics makes you a great fit for us.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems, especially in multi-threaded applications. We love seeing candidates who can think critically and innovate!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at DRW
✨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 used these languages, especially in multi-threaded applications. This will show that you not only understand the theory but can also apply it practically.
✨Quantitative Finance Fundamentals
Since the role involves quantitative finance, it's crucial to have a solid grasp of the mathematics behind trading algorithms. Prepare to explain concepts like statistical analysis, probability, and risk management. Being able to relate these concepts to real-world trading scenarios will impress your interviewers.
✨Showcase Your Problem-Solving Skills
Be prepared for technical questions or coding challenges during the interview. Practice solving algorithmic problems and think aloud as you work through them. This will demonstrate your thought process and problem-solving abilities, which are key for a Research Engineer.
✨Research the Firm's Trading Strategies
Take some time to understand the firm's approach to trading and their current strategies. This knowledge will help you tailor your answers and show genuine interest in how you can contribute to their success. Plus, it gives you a chance to ask insightful questions during the interview.
