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- Tasks: Design and implement trading strategies in high-frequency trading.
- Company: Leading alternative asset manager in Greater London.
- Benefits: Competitive salary, health and dental coverage, bonus scheme, and team events.
- Why this job: Join a dynamic team and make an impact in the crypto trading world.
- Qualifications: Proficiency in Java and experience with time-series data analysis in Python.
- Other info: Collaborate with senior researchers in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading alternative asset manager in Greater London is seeking an experienced Quantitative Researcher to work directly with senior researchers. The role involves designing, analyzing, and implementing trading strategies, focusing on alpha research in high-frequency trading.
Ideal candidates will have proficiency in Java and hands-on experience with time-series data analysis using Python.
This position offers competitive benefits, including health and dental coverage, a bonus scheme, and regular team events.
Crypto HFT Quantitative Researcher: Alpha Signals in London employer: Fasanara Capital Ltd
Contact Detail:
Fasanara Capital Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Crypto HFT Quantitative Researcher: Alpha Signals in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the crypto and finance space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies and analyses. Use GitHub to share your Python projects and demonstrate your Java proficiency.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of high-frequency trading and alpha signals. Be ready to discuss your past experiences and how they relate to the role.
✨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 take that extra step.
We think you need these skills to ace Crypto HFT Quantitative Researcher: Alpha Signals in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with high-frequency trading and time-series data analysis. We want to see how your skills in Java and Python can contribute to our alpha research efforts.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about quantitative research and how your background aligns with the role. We love hearing about your unique approach to designing trading strategies.
Showcase Relevant Projects: If you've worked on any projects related to trading strategies or data analysis, make sure to include them. We’re keen to see practical examples of your work that demonstrate your expertise and creativity.
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 from our team!
How to prepare for a job interview at Fasanara Capital Ltd
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific metrics and models you've worked with. Be prepared to explain how you’ve used time-series data analysis in Python to derive insights or improve trading strategies.
✨Java Mastery
Since proficiency in Java is a must, make sure you can talk about your experience with it confidently. Prepare examples of projects where you implemented trading algorithms or any relevant applications that showcase your coding skills.
✨Research the Firm
Understand the company’s approach to alternative asset management and their specific focus on high-frequency trading. This will help you tailor your answers and show that you’re genuinely interested in contributing to their alpha research efforts.
✨Prepare for Technical Questions
Expect technical questions that test your analytical thinking and problem-solving abilities. Practice explaining complex concepts clearly and concisely, as you may need to demonstrate your thought process during the interview.
