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- Tasks: Design and implement trading strategies while conducting alpha research.
- Company: Prestigious investment firm in Greater London with a winning team.
- Benefits: Competitive bonus scheme and comprehensive health coverage.
- Why this job: Join a dynamic team and make an impact in the crypto trading world.
- Qualifications: Experience in high-frequency trading, Java proficiency, and Python skills.
- Other info: Exciting opportunity for growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A prestigious investment firm in the Greater London area is looking for an experienced Quantitative Researcher to join their winning team. This exciting role involves designing, analyzing, and implementing trading strategies, in addition to alpha research and monitoring existing strategies.
Candidates should have prior experience in high-frequency trading, proficiency in Java, and hands-on Python experience with time-series data.
Attractive benefits include a competitive bonus scheme and comprehensive health coverage.
Quantitative Researcher — Crypto HFT Alpha Signals employer: Fasanara
Contact Detail:
Fasanara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher — Crypto HFT Alpha Signals
✨Tip Number 1
Network like a pro! Reach out to professionals in the crypto and high-frequency trading space. Attend meetups, webinars, or even just connect on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies and any relevant projects you've worked on. This is your chance to demonstrate your hands-on Python experience and Java proficiency in a way that stands out.
✨Tip Number 3
Prepare for those interviews! Brush up on your quantitative analysis skills and be ready to discuss your approach to designing and implementing trading strategies. Practice common interview questions related to high-frequency trading to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Quantitative Researcher — Crypto HFT Alpha Signals
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in high-frequency trading and your proficiency in Java and Python. 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 passionate about quantitative research and how your background makes you a perfect fit for our team. Let us know what excites you about the role and the firm.
Showcase Your Analytical Skills: In your application, include examples of how you've designed or implemented trading strategies. We love seeing candidates who can demonstrate their analytical prowess, especially with time-series data, so make sure to highlight those experiences!
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 don’t miss out on any important updates. Plus, it shows us you’re keen on joining our winning team!
How to prepare for a job interview at Fasanara
✨Know Your Numbers
As a Quantitative Researcher, you'll need to demonstrate your analytical skills. Brush up on key metrics and data analysis techniques relevant to high-frequency trading. Be prepared to discuss how you've used these in past roles.
✨Showcase Your Coding Skills
Since proficiency in Java and Python is crucial, make sure you can talk about your coding experience confidently. Bring examples of projects where you've implemented trading strategies or worked with time-series data to showcase your hands-on skills.
✨Understand the Market
Familiarise yourself with current trends in crypto and high-frequency trading. Being able to discuss recent developments or market shifts will show that you're not just technically skilled but also passionate about the field.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving abilities. Practice articulating your thought process clearly, as this will help interviewers understand how you approach challenges in quantitative research.
