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- Tasks: Design and develop a core trading engine for live event tickets using Python.
- Company: Exciting data-driven trading startup based in Battersea.
- Benefits: Competitive salary with profit-sharing based on portfolio performance.
- Why this job: Join a dynamic team and innovate in the fast-paced world of trading.
- Qualifications: Strong foundation in computer science or maths, and problem-solving skills.
The predicted salary is between 36000 - 60000 £ per year.
A data-driven trading startup based in Battersea seeks a Software Engineer to develop a core trading engine for live event tickets. The role involves designing market-making strategies, working with Python, and analyzing vast data for market efficiency. Candidates with a strong foundation in computer science or math, and a passion for innovative problem-solving, are encouraged to apply. This in-person role offers a competitive salary with profit-sharing tied to portfolio performance.
Real-Time Trading Engineer | Low-Latency Python & AWS employer: Mirror Labs
Contact Detail:
Mirror Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Trading Engineer | Low-Latency Python & AWS
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech scene, especially those who work with Python and AWS. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got any side projects or contributions to open-source that relate to market-making strategies or data analysis, make sure to highlight them in conversations. We love seeing real-world applications of your coding chops!
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges that focus on low-latency systems. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Real-Time Trading Engineer | Low-Latency Python & AWS
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant projects you've worked on. We want to see how you can apply your skills to develop a core trading engine, so don’t hold back!
Be Data-Driven: Since we’re all about data here, include examples of how you've used data analysis in your previous roles. Talk about any market-making strategies you've designed or how you've improved efficiency through data.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Real-Time Trading Engineer role. We love seeing candidates who are genuinely interested in what we do.
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’re considered for this exciting opportunity in our Battersea office!
How to prepare for a job interview at Mirror Labs
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and AWS, as these are crucial for the role. Brush up on your coding skills and be ready to tackle some technical questions or even a live coding challenge during the interview.
✨Understand Market-Making Strategies
Familiarise yourself with market-making concepts and how they apply to live event ticketing. Being able to discuss strategies and demonstrate your understanding of market efficiency will show that you’re not just a coder, but someone who can think critically about the business.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you’ve tackled complex problems, especially those involving data analysis. Highlight your innovative approaches and how they led to successful outcomes, as this aligns perfectly with the company’s focus on creative solutions.
✨Be Ready to Discuss Data Analysis
Since the role involves analysing vast amounts of data, be prepared to talk about your experience with data-driven decision-making. Bring examples of how you’ve used data to improve processes or outcomes in previous roles, which will resonate well with the startup's mission.
