Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to drive research projects and develop trading strategies.
- Company: A leading electronic trading firm expanding its proprietary trading business in FX and futures.
- Benefits: Work in a collaborative environment with access to top-tier trading infrastructure.
- Why this job: Gain hands-on experience in a fast-paced setting while making a real impact on trading strategies.
- Qualifications: 1+ years in alpha signal research; strong statistical modelling and Python skills required.
- Other info: This role offers the chance to work closely with an experienced trader from day one.
The predicted salary is between 43200 - 72000 £ per year.
We are partnered with a leading electronic trading firm to help build out their newly launched proprietary trading business. With a strong foundation in FX market making and a proven track record in trading infrastructure, the firm is expanding its directional trading efforts in FX and futures.
They are now looking for a Quantitative Researcher to join the prop trading team in London, working directly with the Head of Trading. This is a hands-on, research-driven role focused on alpha generation and signal development within short- to medium-term systematic strategies.
The Role:
- End-to-end ownership of research projects, from hypothesis generation to implementation
- Initial focus will be on implementing the team\’s models, with a path to develop and deploy your own strategies
- Work across signal research, risk management, and execution in a fast-paced, collaborative environment
- Exposure to FX and futures markets, with access to institutional-grade infrastructure and support
Requirements:
- 1+ years of experience in alpha signal research (PhD graduates with strong internships will be considered)
- Exceptional statistical modelling and data analysis skills -this is a core requirement
- Strong proficiency in Python; Java is a bonus
- Track record of rigorous, creative research with impact
Preferred Academic Background:
- PhD or strong Master’s in Statistics, Applied Mathematics, Physics, Computer Science, or another quantitative discipline
- Demonstrated ability to apply advanced statistical methods to real-world datasets
Location:
London-based, in office 5-days a week.
This is a unique opportunity to join a growing prop desk early, working closely with a highly experienced trader on strategy design and development from day one.
Prop Quantitative Researcher - FX & Futures | London employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Prop Quantitative Researcher - FX & Futures | London
✨Tip Number 1
Network with professionals in the FX and futures trading space. Attend industry conferences, webinars, or local meetups to connect with traders and researchers. This can help you gain insights into the latest trends and potentially get referrals.
✨Tip Number 2
Showcase your quantitative skills through personal projects or contributions to open-source platforms. Developing your own trading models or algorithms can demonstrate your hands-on experience and creativity, making you stand out to potential employers.
✨Tip Number 3
Familiarise yourself with the specific tools and technologies used in the firm’s trading infrastructure. Being well-versed in Python and having a basic understanding of Java can give you an edge during interviews, as it shows your readiness to hit the ground running.
✨Tip Number 4
Prepare for technical interviews by brushing up on statistical modelling and data analysis techniques. Be ready to discuss your previous research projects in detail, focusing on the methodologies you used and the impact of your findings.
We think you need these skills to ace Prop Quantitative Researcher - FX & Futures | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in FX and futures. Emphasise any projects or roles where you've demonstrated statistical modelling and data analysis skills.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the firm. Discuss your experience with alpha signal research and how it aligns with the company's goals. Be specific about your contributions to past projects.
Showcase Technical Skills: Clearly outline your proficiency in Python and any experience with Java. Provide examples of how you've used these programming languages in your research or projects, especially in relation to statistical modelling.
Highlight Academic Achievements: If you have a PhD or strong Master's degree, make sure to mention it prominently. Discuss any relevant coursework or research that demonstrates your ability to apply advanced statistical methods to real-world datasets.
How to prepare for a job interview at Durlston Partners
✨Showcase Your Research Skills
Be prepared to discuss your previous research projects in detail. Highlight your hypothesis generation process, the methodologies you used, and the impact of your findings. This will demonstrate your hands-on experience and ability to contribute to the firm's alpha generation efforts.
✨Demonstrate Statistical Modelling Proficiency
Since exceptional statistical modelling is a core requirement, brush up on your knowledge of advanced statistical methods. Be ready to explain how you've applied these techniques to real-world datasets, and consider bringing examples of your work to illustrate your capabilities.
✨Prepare for Technical Questions
Expect technical questions related to Python and possibly Java. Review key concepts and be ready to solve problems on the spot. Practising coding challenges or discussing your past coding experiences can help you feel more confident during this part of the interview.
✨Understand the FX and Futures Markets
Familiarise yourself with the current trends and dynamics in the FX and futures markets. Being able to discuss recent developments or challenges in these areas will show your genuine interest in the role and your readiness to engage with the trading environment.
