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- Tasks: Analyse trading data and develop machine learning algorithms to uncover competitive edges.
- Company: Dynamic HFT fund blending start-up energy with established stability.
- Benefits: Competitive salary, bonuses, and significant growth opportunities.
- Why this job: Make a real impact while collaborating with trading teams in a unique culture.
- Qualifications: 2+ years in Python, data science, and strong problem-solving skills.
- Other info: Ideal for curious researchers eager to drive projects independently.
The predicted salary is between 43200 - 72000 £ per year.
Leading HFT fund looking for a self-driven quantitative researcher to join their centralised Latency team where you will draw on your problem-solving skills and data science/statistics experience to analyse billions of collected trading data points and unearth competitive edges. This role offers the opportunity to develop both business and technical expertise; working closely with trading teams to perform post-trade statistical analysis and identify relationships between business metrics and changes on the infrastructure technology. You’ll also investigate and design data mining and machine learning algorithms. Unique in their field, this global firm combines the lively, positive spirit of a start-up with the stability of a longer-established player. This role would suit a curious, highly collaborative researcher who has demonstrated the ability to independently drive projects to completion.
Requirements
- Minimum 2+ years’ experience
- Hands-on programming experience in Python with a focus on data science & analytics
- Sound experience in Machine Learning and Statistics
- Outstanding problem-solving capabilities
- Bonus points for experience with C++, SQL and network protocols
Benefits
- Competitive base salary & bonus
- Enormous opportunity to grow, learn and have a significant business impact
- Contributions are rewarded; career progression supported
- Unique culture where you can fulfil your potential through collaboration and mutual respect
Whilst we carefully review all applications, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Python Quantitative Researcher – London employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quantitative Researcher – London
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or attend industry events. A friendly chat can give you insights and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those involving Python, data science, and machine learning. This will help you stand out during interviews and showcase your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your problem-solving skills with mock interviews or coding challenges. Being able to think on your feet is crucial for this role, so don’t skip this step.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Python Quantitative Researcher – London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python, data science, and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your problem-solving skills can contribute to our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any interesting projects, especially those involving data analysis or machine learning, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Oxford Knight
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in data science and analytics. Be ready to discuss specific projects where you've used Python to solve complex problems or analyse large datasets.
✨Show Off Your Statistical Savvy
Prepare to talk about your experience with machine learning and statistics. Think of examples where you've applied these skills to real-world scenarios, particularly in trading or financial contexts.
✨Demonstrate Problem-Solving Prowess
Be ready to tackle some problem-solving questions during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical abilities and how you approach challenges.
✨Highlight Collaboration Experience
Since this role involves working closely with trading teams, be prepared to discuss your collaborative experiences. Share examples of how you've successfully worked with others to drive projects to completion, emphasising your communication skills.
