At a Glance
- Tasks: Join a cutting-edge team to develop quantitative models and trading systems.
- Company: A sophisticated proprietary trading business backed by a top macro hedge fund.
- Benefits: Competitive salary, growth opportunities, and a chance to make a real impact.
- Other info: Exceptional candidates from leading European programmes are encouraged to apply.
- Why this job: Be part of a high-calibre team at a pivotal growth stage.
- Qualifications: 2-5 years in quantitative roles; strong academic background in relevant fields.
The predicted salary is between 60000 - 80000 £ per year.
Referment are partnering with a newly independent, 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 Developers / Quant Researchers to join a growing front-office technology and modelling group in London.
We’re particularly interested in candidates with experience across:
- Quantitative modelling
- Trading systems infrastructure
- Pricing and analytics libraries
- Python and/or C++ development in trading environments
- Systematic trading or quantitative research environments
Ideal backgrounds include:
- 2–5 years of experience on the sellside or buyside
- Strong academic pedigree, Oxbridge Maths, Computer Science, Physics or related quantitative disciplines preferred
- Also open to exceptional candidates from Imperial, Warwick, ETH, EPFL and leading European quantitative programmes
This is an opportunity to join a high-calibre team at a pivotal stage of growth, with significant scope for ownership, impact, and upside as the business scales independently.
Quantitative Developer (37962C8) employer: Referment
Join a dynamic and innovative trading firm in London, where exceptional talent is nurtured and rewarded. With a strong emphasis on collaboration and cutting-edge technology, we offer our Quantitative Developers the chance to make a significant impact within a high-calibre team. Our commitment to employee growth, coupled with a culture that values creativity and independence, makes us an outstanding employer for those seeking meaningful and rewarding careers in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer (37962C8)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! If you've worked on any quantitative models or trading systems, make sure to have them ready to discuss. We recommend creating a portfolio or GitHub repository to demonstrate your coding skills in Python or C++.
✨Tip Number 3
Prepare for technical interviews! Brush up on your quantitative modelling and analytics knowledge. We suggest practicing coding challenges and reviewing common algorithms used in trading environments to impress your interviewers.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to get noticed. Don’t hesitate to follow up after applying; it shows your enthusiasm and can help keep your application top of mind.
We think you need these skills to ace Quantitative Developer (37962C8)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in quantitative modelling and trading systems. We want to see how your background aligns with the skills mentioned in the job description, so don’t hold back on showcasing your Python or C++ expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your academic background and work experience make you a perfect fit for our team. Keep it concise but impactful!
Showcase Relevant Projects:If you've worked on any projects related to systematic trading or quantitative research, be sure to mention them. We love seeing practical applications of your skills, so include any relevant details that demonstrate your capabilities.
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 us you’re keen to join our team!
How to prepare for a job interview at Referment
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative modelling and trading systems knowledge. Be ready to discuss your experience with pricing and analytics libraries, as well as any projects you've worked on using Python or C++. This is your chance to showcase your technical skills!
✨Showcase Your Academic Background
Given the emphasis on strong academic pedigree, be prepared to talk about your studies in Maths, Computer Science, Physics, or related fields. Highlight any relevant coursework or projects that demonstrate your analytical abilities and problem-solving skills.
✨Prepare for Technical Questions
Expect some challenging technical questions during the interview. Practice coding problems in Python or C++ and be ready to explain your thought process. It’s not just about getting the right answer; they want to see how you approach complex problems.
✨Demonstrate Your Passion for Trading
Show genuine interest in systematic trading and quantitative research. Discuss any personal projects, research, or market analysis you've done outside of work. This will help you stand out as someone who is truly passionate about the field and eager to contribute to their team.
