At a Glance
- Tasks: Design and optimise low-latency trading systems using C++.
- Company: TankX, a leading quantitative trading company in Greater London.
- Benefits: Competitive salary, stock options, and a dynamic work environment.
- Other info: Collaborate closely with data engineers in a fast-paced setting.
- Why this job: Join a team that values innovation and proactive problem-solving in finance.
- Qualifications: Bachelor's or Master's in a related field with strong C/C++ 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work at companies like TankX. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ projects or any trading systems you've worked on. This is your chance to demonstrate your expertise and passion for quant development.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges that focus on low-latency systems. We all know that nailing the technical part is crucial for roles like this!
✨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 connect directly with us.
We think you need these skills to ace Quant Developer: High-Perf Trading Engines + Stock Options
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!
Connect the Dots: If you’ve got any experience with finance or trading systems, let us know! It’s a big plus for us and shows you understand the environment we’re working in.
Keep It Simple: We value simplicity in our designs, so when you write your application, keep it clear and concise. Avoid jargon unless it’s absolutely necessary – we want to see your thought process!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application 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 low-latency systems. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Trading Landscape
Familiarise yourself with basic trading concepts and financial instruments. Being able to speak knowledgeably about stock options and trading systems will show that you're not just a tech whiz but also understand the business side of things.
✨Showcase Your Collaborative Spirit
Since you'll be working closely with data engineers, highlight any past experiences where teamwork was key to your success. Prepare examples that illustrate your ability to communicate effectively and work towards common goals.
✨Emphasise Simplicity and Risk Awareness
TankX values simplicity and risk awareness, so be prepared to discuss how you approach these principles in your work. Think of examples where you've simplified complex systems or mitigated risks in your projects, and be ready to share them.