At a Glance
- Tasks: Lead statistical arbitrage strategies in commodities and drive performance-based results.
- Company: Top hedge fund in Greater London with a focus on innovation.
- Benefits: Performance-driven compensation, collaborative environment, and growth opportunities.
- Other info: Join a dynamic team of researchers and elevate your career in finance.
- Why this job: Make a real impact in finance while honing your quantitative skills.
- Qualifications: Expertise in Python or C++ and proven track record in generating alpha.
The predicted salary is between 80000 - 100000 £ per year.
Jkbarnes, a leading hedge fund in Greater London, is seeking a Senior Quant Researcher to expand its Macro desk.
In this role, you will become a sub-portfolio manager directing statistical arbitrage strategies in commodities, benefiting from a Pn L driven compensation based on your performance.
The ideal candidate will have exceptional Python or C++ skills and a track record of generating positive alpha for over 3 years.
Collaboration with other researchers is key in developing systematic Macro strategies.
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Senior Quant Researcher: Systematic Macro RV, PnL-Driven employer: Jkbarnes
Jkbarnes is an exceptional employer that fosters a collaborative and innovative work culture, ideal for talented individuals looking to make a significant impact in the hedge fund industry. Located in Greater London, employees benefit from a performance-driven compensation structure, ample opportunities for professional growth, and the chance to work alongside some of the brightest minds in quantitative research. With a focus on developing cutting-edge systematic Macro strategies, Jkbarnes offers a dynamic environment where your contributions directly influence the firm's success.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Researcher: Systematic Macro RV, PnL-Driven
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We think you need these skills to ace Senior Quant Researcher: Systematic Macro RV, PnL-Driven
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 Jkbarnes, 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 Jkbarnes. 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 Jkbarnes
✨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 Jkbarnes!
✨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.
