At a Glance
- Tasks: Design and backtest machine learning models to generate trading alpha.
- Company: Thurn Partners, a leading quantitative trading firm in London.
- Benefits: Exciting role with cutting-edge technology and dynamic trading environment.
- Other info: Great opportunity for career growth in a fast-paced industry.
- Why this job: Join a pioneering team and make an impact in high-frequency trading.
- Qualifications: Strong machine learning background, Python proficiency, and financial time-series analysis experience.
The predicted salary is between 60000 - 80000 £ per year.
Thurn Partners, a leading quantitative proprietary trading firm in London, is building a machine learning-driven alpha research team focused on equity and futures markets. The role involves designing and backtesting models to generate alpha in high-frequency and mid-frequency trading environments.
The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with financial time-series analysis. This position offers an exciting opportunity to work with cutting-edge technology in a dynamic trading environment.
ML-Driven Quant Researcher: Alpha in Markets in London employer: Thurn Partners
Thurn Partners is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of London. Employees benefit from access to cutting-edge technology and resources, alongside ample opportunities for professional growth and development within the fast-paced world of quantitative trading. Join us to be part of a forward-thinking team that values creativity and excellence in the pursuit of market alpha.
StudySmarter Expert Advice🤫
We think this is how you could land ML-Driven Quant Researcher: Alpha in Markets in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace ML-Driven Quant Researcher: Alpha in Markets in 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 Thurn Partners, 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 Thurn Partners. 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 Thurn Partners
✨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 Thurn Partners!
✨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.
