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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 environment, and opportunities for growth.
- Why this job: Contribute to exciting trading strategies and work with passionate quants and traders.
- Qualifications: Strong Python and C++ skills with an interest in trading.
- Other info: Engaging role with full software development lifecycle responsibilities.
The predicted salary is between 43200 - 72000 £ 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 in London 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 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 GitHub repository showcasing your Python and C++ projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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 sharpen your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing passionate candidates who are eager to join our team and contribute to exciting trading strategies.
We think you need these skills to ace Low-Latency Quant Developer: Python/C++ Front Office in London
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! Tailor your application to reflect the specific requirements of the Low-Latency Quant Developer role. Mention any relevant experience with backtesting systems or low-latency trading.
Express Your Passion: Let us know why you’re excited about trading and technology. A genuine interest in the field can really make your application stand out, so share any personal projects or experiences that fuel your passion.
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 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 technical prowess and passion for the role.
✨Understand the Trading Landscape
Familiarise yourself with basic trading concepts and strategies. Being able to discuss how your development work can impact trading outcomes will impress the interviewers. They want to see that you’re not just a coder but someone who understands the business side of things too.
✨Prepare for Problem-Solving Questions
Expect to tackle some coding challenges or problem-solving scenarios during the interview. Practice common algorithms and data structures in both Python and C++. This will help you demonstrate your analytical thinking and coding skills under pressure.
✨Show Your Collaborative Spirit
Since the role involves working closely with quants and traders, be prepared to discuss your experience in team settings. Share examples of how you’ve successfully collaborated on projects, highlighting your communication skills and ability to adapt to different perspectives.
