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- Tasks: Build and optimise trading systems using AI-generated workflows.
- Company: Leading AI lab in the UK with a focus on innovation.
- Benefits: Earn $105/hour for up to 20 hours a week, fully remote.
- Why this job: Join a cutting-edge team and shape the future of trading technology.
- Qualifications: 5+ years in software engineering and quantitative trading experience.
- Other info: Flexible part-time role with exciting projects and growth potential.
The predicted salary is between 13 - 16 £ per hour.
A leading AI lab in the United Kingdom is looking for experienced Software Engineers with a quantitative trading background. This is a remote position requiring 5+ years of experience in building trading systems and execution infrastructure.
Candidates will work on AI-generated workflows in algorithm implementation and backtesting frameworks.
Competitive compensation of $105/hour for up to 20 hours per week is offered.
Senior Quant Trading Engineer (Remote, Part-Time) in London employer: Ethos
Contact Detail:
Ethos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quant Trading Engineer (Remote, Part-Time) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading and AI space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to trading systems and algorithm implementation. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your quantitative trading knowledge. Practice coding challenges and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Senior Quant Trading Engineer (Remote, Part-Time) in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in building trading systems. We want to see how your background aligns with our needs, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Ethos
✨Know Your Quant Trading Inside Out
Make sure you brush up on your quantitative trading knowledge. Be prepared to discuss your experience in building trading systems and execution infrastructure, as well as any specific algorithms you've implemented. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Technical Skills
Since this role requires a strong software engineering background, be ready to demonstrate your coding skills. You might be asked to solve problems on the spot or discuss your previous projects. Practise coding challenges related to algorithm implementation and backtesting frameworks to impress your interviewers.
✨Familiarise Yourself with AI Workflows
As the position involves working on AI-generated workflows, it’s crucial to understand how AI can enhance trading strategies. Research recent advancements in AI within finance and be prepared to discuss how you can leverage these technologies in your work.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company’s approach to AI in trading, their team dynamics, and what success looks like in this role. This not only shows your interest but also helps you gauge if the company is the right fit for you.