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, ownership opportunities, and a dynamic work environment.
- Other info: Great potential for career advancement and personal development.
- Why this job: Make a real impact in a high-calibre team during a pivotal growth stage.
- Qualifications: 2-5 years in quantitative roles with strong academic backgrounds preferred.
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 (AA800FF) in London 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 not only competitive compensation but also unparalleled opportunities for professional growth and ownership in a rapidly expanding environment. Experience a vibrant work culture that values creativity and excellence, making it an ideal place for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer (AA800FF) in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Referment.
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We think you need these skills to ace Quantitative Developer (AA800FF) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Referment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Referment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Referment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Referment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
