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- Tasks: Analyse market data and develop trading strategies using Python.
- Company: Dynamic financial tech firm in Greater London with a focus on innovation.
- Benefits: Comprehensive health coverage and professional growth opportunities.
- Why this job: Join a results-driven team and make an impact in high-frequency trading.
- Qualifications: 5+ years in quantitative analysis and strong Python skills.
- Other info: Collaborative environment with exciting career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A financial technology firm in Greater London is seeking a Quantitative Researcher to join their High-Frequency Trading team. The ideal candidate will have at least 5 years of experience in quantitative analysis and a strong background in Python programming. You will be responsible for analyzing market data and developing models and trading strategies. We value collaboration and a results-oriented approach. The role offers comprehensive health coverage and opportunities for professional growth.
Quantitative Researcher — HFT Signals employer: Flowdesk
Contact Detail:
Flowdesk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher — HFT Signals
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for quantitative research.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your past projects. We recommend practising common quantitative analysis questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your work! Create a portfolio of your quantitative models and trading strategies. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Researcher — HFT Signals
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in quantitative analysis. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills and achievements!
Python is Key: Since a strong background in Python programming is essential, include specific examples of projects or models you've developed using Python. This will help us understand your technical prowess and how you can contribute to our team.
Be Results-Oriented: We love a results-driven approach! When detailing your past work, focus on the outcomes of your analyses and strategies. Quantify your successes where possible to give us a clear picture of your impact.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Flowdesk
✨Know Your Numbers
Brush up on your quantitative analysis skills and be ready to discuss specific models or strategies you've developed in the past. Be prepared to explain your thought process and the results you achieved, as this will showcase your expertise.
✨Python Proficiency
Since Python programming is crucial for this role, make sure you can demonstrate your coding skills. Consider preparing a small project or example that highlights your ability to analyse market data using Python. This will show your practical experience and problem-solving skills.
✨Collaborative Mindset
As the company values collaboration, think of examples where you've worked effectively in a team. Be ready to discuss how you contributed to group projects and how you handle differing opinions. This will help illustrate that you're a team player who can thrive in their environment.
✨Results-Oriented Approach
Prepare to talk about your achievements and how they align with a results-oriented mindset. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on how your contributions led to measurable outcomes in your previous roles.
