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- Tasks: Design and optimise low-latency trading systems using C++.
- Company: TankX, a leading quantitative trading company in Greater London.
- Benefits: Competitive salary with stock options and a dynamic work environment.
- Other info: Collaborate closely with data engineers in a proactive and risk-aware culture.
- Why this job: Join a team that values innovation and make an impact in trading technology.
- Qualifications: Bachelor's or Master's in a related field with strong C/C++ programming skills.
The predicted salary is between 60000 - 80000 £ per year.
TankX is a quantitative trading company located in Greater London, seeking a skilled engineer to design low-latency trading systems. You'll build robust C++ engines and optimize performance while collaborating closely with data engineers.
A Bachelor's or Master's in a related field is required, alongside strong programming skills in C/C++. Additional familiarity with finance and trading systems is preferred.
Join a team that values simplicity, risk awareness, and proactive initiatives.
Quant Developer: High-Perf Trading Engines + Stock Options in London employer: TankX
Contact Detail:
TankX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer: High-Perf Trading Engines + Stock Options in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings at TankX or similar companies.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ projects, especially those related to trading systems. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨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. Plus, we love seeing candidates who take the initiative to reach out directly.
We think you need these skills to ace Quant Developer: High-Perf Trading Engines + Stock Options in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in C/C++ right from the start. We want to see how your experience aligns with building low-latency trading systems, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention any relevant projects or experiences that showcase your ability to design robust trading engines and optimise performance.
Keep It Simple: We value simplicity, so make your application clear and concise. Avoid jargon and focus on what makes you a great fit for our team at TankX. Less is often more!
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at TankX
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be ready to discuss your previous projects and how you've optimised performance in your code. They’ll likely ask technical questions, so practice coding problems that focus on low-latency systems.
✨Understand the Trading Landscape
Familiarise yourself with basic trading concepts and the financial markets. Knowing how trading systems operate will give you an edge. You might be asked about your understanding of stock options or how market dynamics affect trading strategies.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your analytical thinking. Think of examples where you’ve tackled complex problems, especially in high-pressure situations. They value proactive initiatives, so share instances where you took the lead on a project or improved a process.
✨Emphasise Team Collaboration
Since you'll be working closely with data engineers, highlight your teamwork experiences. Discuss how you’ve collaborated on projects in the past and how you handle feedback. They’re looking for someone who can communicate effectively and contribute to a cohesive team environment.