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- Tasks: Develop and maintain machine learning systems for trading pipelines.
- Company: Leading quantitative investment manager with a focus on innovation.
- Benefits: High salary, performance bonuses, fully paid health benefits, and generous PTO.
- Why this job: Join a dynamic team and enhance trading systems with cutting-edge technology.
- Qualifications: Experience in software engineering and machine learning systems.
- Other info: Exciting opportunities for professional development and career growth.
The predicted salary is between 108000 - 180000 £ per year.
A quantitative investment manager is seeking an experienced Software Engineer to develop and maintain machine learning systems. In this role, you will collaborate with the Quantitative Research team to enhance trading systems.
The position offers a base salary ranging from $150,000 to $300,000, with additional performance bonuses available. Benefits include fully paid medical, dental, vision for employees and dependents, generous PTO, and professional development opportunities in a dynamic team environment.
ML Systems Engineer for Production Trading Pipelines in London employer: Aquatic Capital Management
Contact Detail:
Aquatic Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Systems Engineer for Production Trading Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in quantitative investment or machine learning. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning systems. Whether it's GitHub repos or personal projects, having tangible evidence of your expertise can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of ML algorithms. Practice common interview questions and maybe even do some mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace ML Systems Engineer for Production Trading Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing ML systems for trading. We love seeing enthusiasm and a clear understanding of our work, so let your personality come through.
Showcase Collaboration Skills: Since you'll be working closely with the Quantitative Research team, highlight any previous experiences where you collaborated on projects. We value teamwork, so share examples that demonstrate your ability to work well with others.
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 the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Aquatic Capital Management
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in previous roles, especially in trading systems. This will show your depth of knowledge and how you can contribute to the Quantitative Research team.
✨Showcase Your Coding Skills
Prepare to demonstrate your software engineering skills. You might be asked to solve coding problems or discuss your past projects. Make sure you can explain your thought process clearly and justify your design choices.
✨Understand the Trading Environment
Familiarise yourself with the basics of quantitative trading and the specific challenges faced in this field. Being able to speak intelligently about how machine learning can enhance trading strategies will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading systems and the role's expectations. This shows your genuine interest in the position and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
