At a Glance
- Tasks: Research and develop innovative cryptocurrency trading strategies using data and programming.
- Company: Leading tech-driven proprietary trading firm with a collaborative culture.
- Benefits: Competitive salary, ownership in projects, and a dynamic work environment.
- Other info: Fast-paced environment with opportunities for significant career growth.
- Why this job: Join a high-performing team and make a real impact in the crypto trading world.
- Qualifications: Strong background in quantitative trading, statistics, and proficiency in Python or C++.
The predicted salary is between 60000 - 80000 £ per year.
Our client is a leading technology-driven proprietary trading firm looking to hire a
Quantitative Trader to help develop and scale its cryptocurrency trading strategies.
In this role, you'll research, develop, and optimize systematic trading strategies across digital asset markets, leveraging large datasets, statistical modeling, and programming to identify alpha.
You'll collaborate closely with researchers and engineers to deploy and improve live trading systems in a fast-paced, highly collaborative environment.
Strong background in quantitative trading, statistics, mathematics, computer science, or a related field.
Experience developing systematic trading strategies, ideally in crypto or other electronic markets.
Proficiency in Python and/or C++.
Solid understanding of probability, statistics, and machine learning techniques.
This is an opportunity to join a high-performing team with cutting-edge technology, significant ownership, and direct impact on trading performance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Trader in City of London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Quantitative Trader 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!
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Craft a Tailored Cover Letter:For a full-time role at Alexander Chapman, 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 Alexander Chapman. 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 Alexander Chapman
✨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
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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.
