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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, full medical coverage, generous PTO, and growth opportunities.
- 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: Collaborative environment with strong potential for career advancement.
The predicted salary is between 108000 - 216000 £ 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 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
✨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 lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning systems. This could be anything from GitHub repos to case studies that highlight your problem-solving abilities in production trading pipelines.
✨Tip Number 3
Prepare for technical interviews by brushing up on relevant algorithms and system design principles. We recommend practicing coding challenges and mock interviews to boost your confidence and performance.
✨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 are proactive about their job search!
We think you need these skills to ace ML Systems Engineer for Production Trading Pipelines
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 don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Aquatic Capital Management
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation, and data preprocessing techniques. This will show that you have a solid foundation and can contribute effectively to the Quantitative Research team.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities, especially in languages relevant to the role like Python or R. You might be asked to solve problems on the spot, so practice coding challenges beforehand to boost your confidence.
✨Understand Trading Systems
Familiarise yourself with trading systems and how machine learning can enhance them. Being able to discuss real-world applications of ML in trading will impress the interviewers and show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies and the technologies they use. This not only demonstrates your enthusiasm for the position but also helps you gauge if the company is the right fit for you.
