At a Glance
- Tasks: Develop and enhance quantitative models for rates trading in a dynamic environment.
- Company: Join a leading systematic proprietary trading firm in London.
- Benefits: Competitive salary, ownership opportunities, and a chance to shape the future of trading.
- Other info: Exciting growth stage with significant career advancement potential.
- Why this job: Be part of a high-calibre team and make a real impact as the business grows.
- Qualifications: 2-5 years of experience in trading and a strong quantitative academic background.
The predicted salary is between 60000 - 80000 £ per year.
Referment is partnering with a sophisticated systematic proprietary trading business in London, looking for exceptional Quantitative Developers and Researchers with strong rates exposure. The role offers the opportunity to join a high-calibre team at a pivotal growth stage, with potential for significant ownership and impact as the business scales.
Candidates should possess 2–5 years of experience in a trading environment and a strong academic background in quantitative disciplines.
Quant Developer – Rates Modeling & Front‑Office Trading in London employer: Referment
Join a leading systematic proprietary trading business in London, where you will be part of a high-calibre team that values innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to make a significant impact as the company scales, supported by a dynamic work culture that encourages creativity and excellence. Enjoy competitive benefits and the chance to thrive in a fast-paced environment that rewards your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer – Rates Modeling & Front‑Office Trading in London
✨Get Involved in Data Science Meetups
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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 Quant Developer – Rates Modeling & Front‑Office Trading 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!
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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.
