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- Tasks: Build and maintain predictive trading models using statistical analysis and market data.
- Company: Leading algorithmic trading firm in Greater London with a diverse and collaborative culture.
- Benefits: Gain hands-on experience, work with experts, and enhance your programming skills.
- Why this job: Make an impact in the fast-paced world of trading while developing your technical expertise.
- Qualifications: Students in quantitative disciplines with programming experience in Python or C++.
- Other info: Join a dynamic team where every voice matters and career growth is encouraged.
The predicted salary is between 36000 - 60000 £ per year.
A leading algorithmic trading firm in Greater London seeks Algorithm Developers to build and maintain predictive trading models. In this role, you will leverage statistical analysis of vast market data and collaborate with a team of developers and engineers to enhance trading efficiency.
Ideal candidates are students in quantitative disciplines with programming experience in Python or C++. The firm values a diverse environment where all voices are heard and everyone collaborates to succeed.
Quant Researcher & Algorithm Developer — Trading Models in London employer: Hudson River Trading
Contact Detail:
Hudson River Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher & Algorithm Developer — Trading Models in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repository with your projects in Python or C++. This gives you a chance to demonstrate your coding chops and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your statistical analysis and algorithm design. Practice coding challenges online to get into the right mindset.
✨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 the initiative!
We think you need these skills to ace Quant Researcher & Algorithm Developer — Trading Models in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming experience in Python or C++. We want to see how you can leverage your skills in quantitative disciplines to build those predictive trading models!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experiences and what you can bring to our team.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your background aligns with our needs in algorithm development and trading efficiency.
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 in our diverse environment!
How to prepare for a job interview at Hudson River Trading
✨Know Your Algorithms
Brush up on your knowledge of predictive trading models and algorithms. Be ready to discuss how you would approach building and maintaining these models, as well as any relevant projects you've worked on in Python or C++. This shows your passion and expertise in the field.
✨Statistical Analysis Savvy
Familiarise yourself with statistical analysis techniques that are commonly used in trading. Prepare to explain how you would apply these techniques to vast market data. Being able to articulate your thought process will impress the interviewers.
✨Team Collaboration is Key
Since the firm values collaboration, think of examples where you've successfully worked in a team. Be ready to share how you contributed to group projects, especially in a technical setting. This will demonstrate your ability to work well with others.
✨Diversity Matters
Understand the importance of diversity in the workplace. Be prepared to discuss how your unique background or perspective can contribute to the team's success. Showing that you appreciate different viewpoints will resonate well with the firm's culture.
