At a Glance
- Tasks: Join a dynamic team to develop alpha-generating strategies in global systematic commodity trading.
- Company: Leading global hedge fund with a focus on innovation and collaboration.
- Benefits: Competitive salary, opportunities for growth, and a chance to work with top professionals.
- Other info: Be part of a lean team with exciting challenges and career advancement opportunities.
- Why this job: Make an impact in the trading world while honing your quantitative research skills.
- Qualifications: Strong background in data analysis, Python programming, and excellent academic performance.
The predicted salary is between 60000 - 80000 £ per year.
My client is a leading global, multi-strategy hedge fund who are looking to find an exceptional Power Quantitative Researcher to join a lean team that is trading global systematic commodity products. They have started trading cross commodities and are now looking to add a Quantitative Researcher with a focus on Power to work closely with the Senior Portfolio Manager to create alpha generating strategies.
- Technically proficient in data analysis
- Python programming
- Understanding of instrument mechanics
- Excellent Academics
Trading Quantitative Researcher in City of London employer: Aurum Search Limited
As a leading global multi-strategy hedge fund, our client offers an exceptional work environment that fosters innovation and collaboration among a lean team of experts. Employees benefit from a culture that prioritises professional growth, with opportunities to work closely with seasoned professionals in the field, while enjoying the dynamic atmosphere of a fast-paced trading environment. Located in a vibrant financial hub, this role not only provides competitive compensation but also the chance to contribute to cutting-edge strategies in the commodities market.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Quantitative Researcher in City of 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 Aurum Search Limited.
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We think you need these skills to ace Trading Quantitative Researcher in City of 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 Aurum Search Limited, 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 Aurum Search Limited. 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 Aurum Search Limited
✨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 Aurum Search Limited!
✨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.
