At a Glance
- Tasks: Build and enhance quant technology for systematic trading in a fast-paced crypto environment.
- Company: Leading tech-driven quant hedge fund with a global presence.
- Benefits: Competitive salary, generous benefits, and a relaxed work culture.
- Other info: Excellent career growth opportunities and mentorship roles available.
- Why this job: Join a creative team and make an impact in the exciting world of crypto and DeFi.
- Qualifications: 3-10 years Python experience; passion for crypto and high coding standards.
The predicted salary is between 61650 - 75350 £ per year.
Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe.
They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns.
This opportunity offers a dynamic and fast-paced environment with excellent scope for career growth.
As a pivotal member of the crypto desk specialising in Python, your primary focus will be building and enhancing the quant technology stack for systematic trading.
Collaborating with traders and quants, you ll build front-office systems and integrate with De Fi venues, including onboarding real-time on-chain data feeds.
You ll work on greenfield projects as well as the existing sophisticated tech stack.
You ll also mentor junior members of the team, helping to set high quality standards for code.
Requirements: 3 - 10 years experience in Python (C++ a plus) Passionate about crypto and De Fi Very high standards in code quality and good development practices Good knowledge of real-time systems, robust, scalable quantitative applications Ability to architect high-throughput end-to-end systems
Preferred: Systematic trading background Dev Ops, CI/CD, AWS experience Benefits Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input Competitive salary + generous benefits Professional and personal development Relaxed, casual culture, with a healthy work-life balance Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact If you think you are a strong match for this job description, please do not hesitate to get in touch!
- Amy Gandhi amy. gandhi@oxfordknight. co. uk
- Tel: +44 (0) 203 475 5019 linkedin. com/in/amy-gandhi-122b55109
Python Quant Developer | Crypto- Systematic Quant Fund employer: Oxford Knight
As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Python Quant Developer | Crypto- Systematic Quant Fund
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oxford Knight!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Python Quant Developer | Crypto- Systematic Quant Fund at Oxford Knight.
✨Leverage Professional Networks
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 Oxford Knight.
✨Apply Directly through Our Website
When you find a suitable opening like Python Quant Developer | Crypto- Systematic Quant Fund at Oxford Knight, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Python Quant Developer | Crypto- Systematic Quant Fund
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 Oxford Knight, 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 Oxford Knight. 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 Oxford Knight
✨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 Oxford Knight!
✨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.
