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- Tasks: Design and optimise trading features while developing automated strategies.
- Company: Innovative ticket trading startup based in London.
- Benefits: Competitive salary and profit-sharing linked to trading performance.
- Why this job: Join a dynamic team and make an impact in the exciting world of ticket trading.
- Qualifications: Strong computer science background and data analysis skills; recent grads welcome.
- Other info: Collaborative environment with opportunities for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
An innovative ticket trading startup in London seeks a motivated individual to design and optimize trading features while developing automated strategies. The role involves analyzing market data and working with a collaborative team.
Candidates with strong computer science backgrounds, data analysis skills, and a passion for trading are encouraged to apply. No specific experience years required; recent grads and self-taught individuals are welcome.
This position offers competitive salary and profit-sharing tied to trading performance.
Low-Latency Python Engineer for Ticket Market Making employer: Mirror Labs
Contact Detail:
Mirror Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Low-Latency Python Engineer for Ticket Market Making
✨Tip Number 1
Network like a pro! Reach out to people in the ticket trading and tech industries on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects or automated strategies you've worked on. This is your chance to demonstrate your passion for trading and data analysis.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding low-latency systems. We want to see how you think, so be ready to tackle some coding challenges!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Low-Latency Python Engineer for Ticket Market Making
Some tips for your application 🫡
Show Your Passion for Trading: When writing your application, let us know why you're excited about trading and how it connects to your skills. We want to see that spark in your words!
Highlight Relevant Skills: Make sure to showcase your computer science background and any data analysis skills you have. We love seeing how your experiences can contribute to our innovative team.
Be Yourself: Don’t be afraid to let your personality shine through in your application. We’re looking for motivated individuals who fit well with our collaborative culture.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to find your application and get to know you better!
How to prepare for a job interview at Mirror Labs
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of low-latency applications. Be prepared to discuss how you've used Python in past projects or personal endeavours, and think about how you can apply it to trading features.
✨Understand Market Dynamics
Familiarise yourself with the basics of ticket trading and market making. Being able to discuss current trends or recent changes in the ticket market will show your passion and understanding of the industry, which is crucial for this role.
✨Showcase Your Analytical Skills
Prepare to demonstrate your data analysis capabilities. Bring examples of how you've analysed data in the past, whether through coursework, projects, or self-study. Highlight any tools or libraries you’ve used that are relevant to trading strategies.
✨Be Ready to Collaborate
Since the role involves working with a team, be prepared to discuss your experience in collaborative environments. Think of examples where you’ve worked with others to solve problems or develop solutions, as teamwork is key in this innovative startup.
