At a Glance
- Tasks: Research and develop mathematical models for trading opportunities in global markets.
- Company: Join a prestigious 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 opportunities for ownership and long-term growth.
- Why this job: Make a real impact in finance while working with cutting-edge technology and talented professionals.
- Qualifications: PhD in a quantitative field and strong programming skills in Python or C++.
The predicted salary is between 60000 - 80000 £ 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.
Quant Researcher (D0BDA4A) employer: Referment
Join a prestigious systematic proprietary trading firm in London, where you will be part of a high-calibre team dedicated to innovation and excellence. With a strong emphasis on collaboration, you will have the opportunity to work alongside experienced professionals, contributing to cutting-edge research and live trading initiatives. The company fosters a dynamic work culture that prioritises employee growth, offering significant ownership and impact in your role, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Researcher (D0BDA4A)
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm or similar companies on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those involving machine learning or quantitative models. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on technical questions and coding challenges related to Python and C++. We can find resources online to simulate interview scenarios and get comfortable with the process.
✨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 of a Quant Researcher.
We think you need these skills to ace Quant Researcher (D0BDA4A)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences that align with the Quant Researcher role. We want to see how your background in Mathematics, Statistics, or Computer Science makes you a perfect fit for our team.
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, so don’t hold back on sharing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how you can contribute to our trading group. We appreciate a personal touch, so let your personality come through.
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 the role. Plus, it shows you’re keen on joining our 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 machine learning techniques. They’ll likely ask you to solve problems 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 a must, make sure you can demonstrate your coding abilities. Prepare for technical questions or even a live coding challenge. Familiarise yourself with common algorithms and data structures relevant to quantitative research.
✨Research the Company and Market
Understand the trading strategies and market conditions that the company operates in. Being able to discuss recent trends in global financial markets or specific datasets will show your genuine interest and help you stand out as a candidate.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their research processes, team dynamics, and how they support live trading. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
