At a Glance
- Tasks: Develop and enhance trading models using machine learning techniques.
- Company: Aquatic Capital Management, a leader in innovative financial solutions.
- Benefits: Competitive salary, fully paid medical, and generous paid time off.
- Other info: Exciting opportunities for career growth in a dynamic environment.
- Why this job: Join a diverse team and make an impact in the finance industry.
- Qualifications: Experience in finance or computer science with strong Python programming skills.
The predicted salary is between 120000 - 240000 £ per year.
Aquatic Capital Management is seeking experienced Quantitative Researchers in London, England, to develop and improve proprietary trading models and strategies.
Ideal candidates should have a background in finance, computer science, or related fields along with strong programming skills in Python or similar languages.
The role offers a competitive salary range of $150,000 to $300,000 plus bonuses, robust benefits including fully paid medical, and generous paid time off.
Join our diverse team and contribute to innovative financial solutions.
Quantitative Researcher: ML‑Driven Trading Models in London employer: Aquatic Capital Management
Aquatic Capital Management is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth, we provide extensive training and development opportunities alongside competitive salaries and comprehensive benefits, including fully paid medical and generous paid time off. Join our diverse team to make a meaningful impact in the world of finance while enjoying a collaborative and forward-thinking culture.
Contact Details:
Aquatic Capital Management Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher: ML‑Driven Trading Models in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python or ML-driven models. 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 both technical and behavioural questions. Practice coding challenges and be ready to discuss your thought process when developing trading models.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Quantitative Researcher: ML‑Driven Trading Models in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills in Python or any similar languages. We want to see how your background in finance or computer science can contribute to our trading models!
Tailor Your Application:Don’t just send a generic CV and cover letter. We love it when candidates customise their applications to reflect how they fit into our team and the role. Show us why you’re the perfect match for Aquatic Capital Management!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and experiences at a glance.
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 Aquatic Capital Management
✨Know Your Models Inside Out
Make sure you can discuss the trading models you've worked on in detail. Be prepared to explain your thought process, the algorithms you used, and how you improved them. This shows your depth of knowledge and passion for quantitative research.
✨Brush Up on Python Skills
Since strong programming skills in Python are essential, practice coding problems related to finance and trading algorithms. You might be asked to solve a problem on the spot, so being comfortable with Python will give you a significant edge.
✨Understand the Financial Landscape
Familiarise yourself with current trends in finance and trading. Being able to discuss recent market movements or innovations in trading strategies will demonstrate your engagement with the industry and your ability to contribute to Aquatic Capital Management's goals.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so prepare insightful questions about the company's trading strategies, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
