At a Glance
- Tasks: Research and develop mathematical models for trading opportunities in global markets.
- Company: Join a leading systematic proprietary trading business backed by a top macro hedge fund.
- Benefits: Competitive salary, collaborative environment, and exposure to live trading.
- Other info: High-calibre team with significant ownership and long-term growth potential.
- Why this job: Make a real impact in finance with cutting-edge machine learning techniques.
- Qualifications: PhD in a quantitative field and strong programming skills in Python or C++.
The predicted salary is between 50000 - 70000 £ per year.
Referment are partnering with a highly sophisticated systematic proprietary trading business backed by one of the world’s most respected macro hedge fund platforms. The team is looking to hire exceptional Quantitative Researchers to join a growing research and trading group in London. The role focuses on researching and developing mathematical models used to identify trading and investment opportunities across global financial markets. Researchers work closely with experienced quantitative PMs and engineers in a highly collaborative environment with direct exposure to live trading.
Responsibilities Include:
- Analysing financial and alternative datasets
- Researching and applying machine learning techniques
- Developing quantitative trading signals and models
- Building and maintaining research infrastructure
- Supporting live trading and production systems
Ideal Candidates Will Have:
- A PhD (or equivalent) in Mathematics, Statistics, Physics, Computer Science or a similarly quantitative discipline
- Strong programming skills in Python and/or C++
- Excellent mathematical and statistical foundations
- Exceptional academic backgrounds from leading universities globally
This is an opportunity to join a high-calibre team with significant scope for ownership, impact, and long-term upside.
London Quant Researcher: ML Models & Live Trading employer: Referment
Join a prestigious proprietary trading firm in London, where you will be part of a dynamic team that thrives on collaboration and innovation. With a strong focus on employee growth, the company offers exceptional opportunities for professional development and direct involvement in live trading, ensuring that your contributions have a meaningful impact on global financial markets. Enjoy a stimulating work culture that values excellence and fosters creativity, making it an ideal environment for ambitious Quantitative Researchers.
StudySmarter Expert Advice🤫
We think this is how you could land London Quant Researcher: ML Models & Live Trading
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or similar firms on LinkedIn. A friendly chat can give us insights into the culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those involving machine learning and quantitative analysis. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on technical interview questions related to Python, C++, and quantitative methods. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role.
We think you need these skills to ace London Quant Researcher: ML Models & Live Trading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences that align with the role. We want to see how your background in Mathematics, Statistics, or Computer Science makes you a perfect fit for our Quant Researcher position.
Showcase Your Projects:Include any projects or research you've done that demonstrate your programming skills in Python or C++. We love seeing practical applications of your knowledge, especially if they relate to machine learning or trading models.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're passionate about quantitative research and trading. Share your motivations and how you can contribute to our team’s success in a collaborative environment.
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 London team!
How to prepare for a job interview at Referment
✨Know Your Maths and Stats
Brush up on your mathematical and statistical foundations. Be ready to discuss concepts like probability, regression analysis, and optimisation techniques. You might even be asked to solve a problem on the spot, so practice explaining your thought process clearly.
✨Show Off Your Coding Skills
Since strong programming skills in Python and/or C++ are crucial, make sure you can demonstrate your coding abilities. Prepare to talk about past projects or challenges you've tackled using these languages, and consider doing some coding exercises beforehand to keep your skills sharp.
✨Familiarise Yourself with Machine Learning
As the role involves applying machine learning techniques, be prepared to discuss various algorithms and their applications in trading. Have examples ready of how you've used ML in previous work or studies, and be ready to explain your approach to developing quantitative trading signals.
✨Understand the Trading Environment
Get a good grasp of how live trading works and the types of financial datasets you'll be analysing. Research the company’s trading strategies and be ready to discuss how your skills can contribute to their success. Showing genuine interest in their operations will set you apart!
