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- Tasks: Create and refine AI-driven trading algorithms in a dynamic remote environment.
- Company: Leading AI lab in the UK with a focus on innovation.
- Benefits: Earn $105/hour, enjoy flexible hours, and work remotely.
- Why this job: Join a cutting-edge team and shape the future of trading technology.
- Qualifications: 5+ years in execution infrastructure and expertise in low-latency systems.
- Other info: Perfect for experienced engineers seeking flexibility and impactful work.
The predicted salary is between 78 - 105 £ per hour.
A leading AI lab in the United Kingdom is seeking experienced software engineers specialized in quantitative trading. The role involves creating and refining AI-generated work across various workflows focused on algorithm implementation and trading systems.
Candidates should possess over 5 years of experience in execution infrastructure and be adept at low-latency systems. This fully remote position offers flexible hours and competitive compensation at $105/hour.
Senior Quant Trading Engineer (Remote, Part-Time) 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)
✨Tip Number 1
Network like a pro! Reach out to your connections in the quant trading space and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to algorithm implementation and low-latency systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quant trading scenarios and be ready to discuss how you've tackled challenges in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right fit for your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Senior Quant Trading Engineer (Remote, Part-Time)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative trading and low-latency systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and trading systems. We love seeing candidates who can connect their personal interests with our mission at StudySmarter.
Showcase Your Technical Skills: Since this role is all about execution infrastructure, make sure to detail your technical expertise. We’re looking for specifics on the tools and technologies you’ve used, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the latest updates from our team. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Ethos
✨Know Your Algorithms
Brush up on your knowledge of algorithm implementation and trading systems. Be ready to discuss specific algorithms you've worked with and how they improved trading performance. This shows you’re not just familiar with the theory but have practical experience.
✨Demonstrate Low-Latency Expertise
Prepare to talk about your experience with low-latency systems. Have examples ready that showcase your ability to optimise execution infrastructure. This will highlight your technical skills and understanding of what’s crucial in quantitative trading.
✨Showcase Your AI Knowledge
Since this role is at an AI lab, be prepared to discuss how you've integrated AI into your trading strategies. Share any projects where AI played a key role, as this will demonstrate your alignment with the company’s focus on innovation.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's workflows and future projects. This not only shows your interest in the role but also helps you gauge if the company culture and objectives align with your career goals.