Quantitative Researcher: ML‑Driven Trading Models

Quantitative Researcher: ML‑Driven Trading Models

Full-Time 120000 - 240000 £ / year (est.) No working from home possible
Aquatic Capital Management

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 employer: Aquatic Capital Management

Aquatic Capital Management is an exceptional employer, offering a dynamic work culture in the heart of London where innovation thrives. With competitive salaries and comprehensive benefits, including fully paid medical and generous paid time off, we prioritise employee well-being and growth. Join our diverse team of experts and take advantage of unique opportunities to develop cutting-edge trading models that shape the future of finance.

Aquatic Capital Management

Contact Details:

Aquatic Capital Management Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Researcher: ML‑Driven Trading Models

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

Quantitative Research
Proprietary Trading Models
Financial Analysis
Computer Science Knowledge
Programming Skills in Python
Machine Learning
Data Analysis

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your programming skills, especially in Python or 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 tailor their applications to us, showing how their experience aligns with the role of Quantitative Researcher at 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 enthusiasm for the role.

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 this exciting opportunity!

How to prepare for a job interview at Aquatic Capital Management

Know Your Models

Make sure you’re well-versed in the trading models and strategies you’ve worked on. Be ready to discuss how you developed them, the challenges you faced, and the outcomes. This shows your depth of knowledge and passion for quantitative research.

Brush Up on Python

Since strong programming skills in Python are essential, take some time to review key concepts and libraries relevant to quantitative finance. Be prepared to demonstrate your coding skills, as you might be asked to solve a problem or explain your thought process during the interview.

Understand the Company’s Vision

Research Aquatic Capital Management and their approach to trading. Familiarise yourself with their proprietary models and any recent news or developments. This will help you tailor your answers and show that you’re genuinely interested in contributing to their innovative financial solutions.

Prepare Thoughtful Questions

Interviews are a two-way street, so come armed with insightful questions about the team, the company culture, and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.