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- Tasks: Enhance Python research systems and maintain a low-latency C++ trading suite.
- Company: Dynamic financial trading firm in Greater London.
- Benefits: Competitive salary, collaborative culture, and exciting projects.
- Why this job: Contribute to innovative trading strategies and work with passionate professionals.
- Qualifications: Strong Python and C++ skills, plus a keen interest in trading.
- Other info: Engaging environment with opportunities for growth and learning.
The predicted salary is between 42000 - 84000 £ per year.
A financial trading firm based in Greater London seeks a passionate developer to enhance their Python-based research backtest system and maintain a low-latency C++ trading suite. The role involves collaboration with quants and traders, encompassing full software development lifecycle responsibilities.
Applicants should have strong Python and C++ skills, alongside a keen interest in trading. Join us to contribute to exciting trading strategies in a dynamic environment.
Low-Latency Quant Developer: Python/C++ Front Office employer: BlueCrest Capital Management
Contact Detail:
BlueCrest Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Latency Quant Developer: Python/C++ Front Office
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you've got a GitHub or personal project showcasing your Python and C++ prowess, make sure to share it during interviews. It’s a great way to demonstrate your passion for coding and trading.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. We all know that low-latency trading requires quick thinking, so practice coding challenges to sharpen those skills!
✨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 are proactive about their job search.
We think you need these skills to ace Low-Latency Quant Developer: Python/C++ Front Office
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and C++ skills in your application. We want to see how you've used these languages in past projects, especially if they relate to trading or finance.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor them to reflect your passion for trading and how your experience aligns with the role. We love seeing candidates who take the time to connect their background to what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 this exciting opportunity in our dynamic environment.
How to prepare for a job interview at BlueCrest Capital Management
✨Know Your Tech Inside Out
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss specific projects you've worked on, especially those related to low-latency systems or trading applications. This will show your passion and expertise in the field.
✨Understand the Trading Environment
Familiarise yourself with the basics of financial trading and the role of technology in it. Knowing how trading strategies work and the importance of low-latency systems will help you connect better with the quants and traders during the interview.
✨Prepare for Technical Questions
Expect to face technical questions that test your problem-solving skills in Python and C++. Practice coding challenges and be prepared to explain your thought process clearly. This will demonstrate your analytical abilities and how you approach complex problems.
✨Show Your Collaborative Spirit
Since the role involves working closely with quants and traders, be ready to discuss examples of past teamwork experiences. Highlight how you’ve successfully collaborated on projects and how you can contribute to a dynamic team environment.
