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- Tasks: Design and optimise trading features while developing automated strategies.
- Company: Innovative ticket trading startup in London with a collaborative vibe.
- Benefits: Competitive salary, profit-sharing, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in the exciting world of trading.
- Qualifications: Strong computer science background and data analysis skills; recent grads welcome.
- Other info: Perfect for self-taught individuals passionate about trading.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the ticket trading and tech space on LinkedIn. A friendly message can go a long way, and you never know who might help you land that interview.
✨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 beyond just your CV.
✨Tip Number 3
Prepare for the technical side! Brush up on Python and any relevant algorithms. Be ready to discuss how you would approach designing and optimising trading features during interviews.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about our mission. It shows initiative and gives us a better sense of who you are.
We think you need these skills to ace Low-Latency Python Engineer for Ticket Market Making in London
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 love seeing candidates who are genuinely interested in the ticket market and can bring that enthusiasm to our team.
Highlight Your Technical Skills: Make sure to showcase your computer science background and any relevant data analysis skills. We want to see how you can contribute to designing and optimising our trading features, so don’t hold back on your technical prowess!
Be Yourself: We’re looking for motivated individuals, so let your personality shine through in your application. Share your unique experiences and what makes you a great fit for our collaborative team. Authenticity goes a long way!
Apply Through Our Website: To make sure your application gets to us directly, please apply through our website. It’s the best way for us to review your details and get you into the process smoothly. We can’t wait to hear from you!
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 any personal projects that showcase your coding abilities.
✨Understand Market Dynamics
Familiarise yourself with ticket trading and market making concepts. Being able to discuss how market data influences trading strategies will show your passion for the industry and your analytical mindset.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach optimising a trading feature or developing an automated strategy, and be ready to explain your thought process clearly.
✨Emphasise Team Collaboration
Since this role involves working with a collaborative team, be ready to share examples of how you've successfully worked in teams before. Highlight your communication skills and how you can contribute to a positive team environment.
