At a Glance
- Tasks: Drive alpha generation and own your research in a dynamic stat arb team.
- Company: J K Barnes, a leading firm in London with a focus on equity research.
- Benefits: Competitive salary, strong engineering support, and collaborative work environment.
- Other info: On-site role with opportunities for professional growth in a supportive team.
- Why this job: Make a real impact in cash equities while enhancing your programming and statistical skills.
- Qualifications: 5-15 years of systematic equity research experience and Python programming skills.
The predicted salary is between 70000 - 100000 £ per year.
J K Barnes in London is hiring a Quant Researcher for their stat arb team, where you’ll drive alpha generation and have substantial ownership over your research. This on-site role offers a unique chance to contribute directly to cash equities with strong engineering support.
The ideal candidate should have 5-15 years of systematic equity research experience, along with solid programming skills in Python and a strong statistical understanding. The position is aimed at mid to senior-level researchers who thrive in collaborative environments.
Quant Researcher: Equities Stat Arb in London (On-site) Visa employer: J K Barnes
J K Barnes is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to take ownership of your research while benefiting from robust engineering support. The company values its employees by providing a stimulating environment where your contributions directly impact alpha generation in cash equities.
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We think this is how you could land Quant Researcher: Equities Stat Arb in London (On-site) Visa
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We think you need these skills to ace Quant Researcher: Equities Stat Arb in London (On-site) Visa
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J K Barnes. 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!
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✨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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✨Get Comfortable with Python and R
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✨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.
