At a Glance
- Tasks: Develop and execute alpha-generating strategies using large datasets.
- Company: Leading hedge fund in Oxford with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Strong Python skills and statistical knowledge are essential.
- Why this job: Join top researchers and engineers to make an impact in quantitative trading.
- Qualifications: Advanced degree and 2+ years in market making or quantitative trading.
The predicted salary is between 60000 - 72000 £ per year.
Venture Up is partnering with a leading hedge fund in Oxford to recruit a Quantitative Researcher for Equity Mid/High Frequency Trading. You will develop alpha-generating strategies from idea generation through live execution, researching large-scale datasets and uncovering predictive signals alongside top researchers and engineers.
We’re seeking an advanced degree holder with 2+ years in market making or similar quantitative trading, strong Python skills, and a deep grasp of statistical methods.
Quantitative Researcher, HFT & Market Making in Oxford employer: Venture Up
Venture Up offers an exceptional work environment for Quantitative Researchers, fostering a culture of innovation and collaboration within a prestigious Oxford hedge fund. Employees benefit from autonomy in their projects, access to advanced analytics tools, and opportunities for professional growth, all while contributing to impactful trading strategies in a dynamic market. The greenfield setting encourages creativity and the exploration of new ideas, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher, HFT & Market Making in Oxford
✨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 Venture Up.
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We think you need these skills to ace Quantitative Researcher, HFT & Market Making in Oxford
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 Venture Up, 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 Venture Up. 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 Venture Up
✨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 Venture Up!
✨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.
