Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain predictive trading models using statistical analysis of market data.
- Company: Leading algorithmic trading firm in Greater London with a collaborative culture.
- Benefits: Competitive salary, diverse environment, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of trading.
- Qualifications: Students in quantitative disciplines with programming experience in Python or C++.
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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the algorithmic trading space on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects in Python or C++. This is your chance to demonstrate your quantitative abilities and problem-solving skills, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your statistical analysis and coding skills. Practice common algorithm questions and be ready to discuss your thought process. We want to see how you think!
✨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 are proactive about their job search.
We think you need these skills to ace Quant Researcher & Algorithm Developer — Trading Models
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! Tailor it to us by mentioning why you’re excited about working in algorithmic trading and how you can contribute to enhancing trading efficiency.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
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 specific models you've worked on, how they function, and the statistical methods behind them. This shows you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Coding Skills
Since programming in Python or C++ is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with common libraries used in algorithmic trading.
✨Collaborative Mindset
This firm values collaboration, so be prepared to discuss how you’ve worked in teams before. Share examples of how you contributed to group projects, resolved conflicts, or helped others succeed. Highlighting your teamwork skills will resonate well with their culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you’d be working on, or how they measure success in trading models. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
