At a Glance
- Tasks: Conduct cutting-edge quantitative research to uncover new financial insights.
- Company: Join a leading systematic trading firm that values research and collaboration.
- Benefits: Enjoy a dynamic work environment with genuine ownership of your projects.
- Other info: Ideal for both seasoned Quant Researchers and AI experts looking to transition.
- Why this job: Make a real impact in finance by solving complex problems with innovative ideas.
- Qualifications: PhD or Master's in relevant fields, with a passion for Quant Finance.
The predicted salary is between 60000 - 80000 £ per year.
Join one of the world's leading systematic trading firms, where research is the competitive advantage. Unlike many larger firms, they keep research at the centre of everything they do. They deliberately remain small, highly collaborative and research-led, giving researchers genuine ownership from idea generation through to live deployment. If you're motivated by solving difficult problems rather than navigating bureaucracy, this is an environment worth exploring.
The Role
You'll conduct fundamental quantitative research to discover new sources of alpha in global financial markets. You'll remain close to your research, from ideation to deployment to iteration based on real-world performance. This is a highly research-driven environment where new ideas and failure are welcomed!
The firm is particularly keen to speak to both seasoned Quant Researchers and AI Researchers who are keen to move into Quantitative Finance. Some (but not all) of the topics they are interested in include:
- Statistical arbitrage
- Reinforcement learning
- Foundation models
- Predictive modelling
- Time series modelling
- Optimisation
What They're Looking For:
They are happy to hire people who are already Quant Researchers or those who are in AI Research but are keen to move into Quant Finance. For the latter, they would expect:
- PhD or Master's degree in Statistics, Maths, or other relevant topics
- Top-tier publications (NeurIPS, ICML, ICLR, AISTATS etc.)
- Track record of solving difficult problems, particularly in noisy, high-dimensional environments.
- A genuine passion for the world of Quant Finance
- A solid understanding of core topics/terminology
Quantitative Researcher in Slough employer: Vertex Search
Join a dynamic and innovative trading firm that prioritises research and collaboration, offering Quantitative Researchers the unique opportunity to take ownership of their projects from inception to execution. With a culture that embraces creativity and welcomes new ideas, employees are encouraged to explore challenging problems in a supportive environment, fostering both personal and professional growth. Located in a vibrant financial hub, this firm not only provides competitive compensation but also a stimulating atmosphere where your contributions can make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vertex Search!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Researcher at Vertex Search.
✨Leverage Professional Networks
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 Vertex Search.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Researcher at Vertex Search, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Researcher in Slough
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 Vertex Search, 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 Vertex Search. 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 Vertex Search
✨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!
✨Showcase Your Projects
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 Vertex Search!
✨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.
