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- Tasks: Enhance automated trading systems and implement robust trading infrastructure.
- Company: Research-led trading firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in algorithmic trading.
- Qualifications: Experience in Python development and familiarity with financial markets.
- Other info: Ideal for those passionate about data-intensive environments.
The predicted salary is between 42000 - 60000 £ per year.
A research-led trading firm in Greater London is seeking a quantitative developer to enhance their automated trading systems. The successful candidate will leverage their experience in Python development and familiarity with financial markets to design and implement robust trading infrastructure.
Responsibilities include:
- Maintaining high-quality systems
- Ensuring timely data flows
- Translating research into production-grade code
Ideal for those with a background in data-intensive environments and an interest in algorithmic trading.
Quantitative Developer - Production-Grade Trading Infra in London employer: Geo Alpha
Contact Detail:
Geo Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Production-Grade Trading Infra in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some cool projects that highlight your Python prowess and understanding of trading systems. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your algorithmic trading knowledge and be ready to discuss how you've tackled data-intensive challenges in the past. We want to see your thought process!
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Quantitative Developer - Production-Grade Trading Infra in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it in past projects, especially in relation to trading systems or data-intensive environments.
Connect Your Experience to Trading: When writing your application, link your previous work to the financial markets and algorithmic trading. We’re looking for candidates who can translate research into production-grade code, so make that connection clear!
Keep It Professional Yet Personal: While we appreciate a professional tone, don’t be afraid to let your personality shine through. Share your passion for trading and technology; it helps us get to know you better!
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Geo Alpha
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve complex problems, especially in trading systems. Practising coding challenges can also help you demonstrate your technical prowess.
✨Understand Financial Markets
Familiarise yourself with the basics of financial markets and trading strategies. Being able to discuss market trends and how they impact trading infrastructure will show that you’re not just a coder but someone who understands the domain you're working in.
✨Prepare for System Design Questions
Expect questions about designing robust trading systems. Think through how you would approach building a system that ensures high availability and low latency. Be prepared to explain your thought process clearly and logically.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. They might ask you how you would handle specific challenges in maintaining data flows or translating research into code. Use these opportunities to showcase your analytical thinking and problem-solving abilities.
