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- Tasks: Design and implement trading strategies in high-frequency trading.
- Company: Leading alternative asset manager based in Greater London.
- Benefits: Competitive 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 directly 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 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
✨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
Showcase your skills! Create a portfolio of your trading strategies and analyses. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Java and Python skills, and be ready to tackle time-series data analysis questions. Practice makes perfect!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Crypto HFT Quantitative Researcher: Alpha Signals
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with quantitative research and trading strategies. 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 high-frequency trading and how your background makes you the perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving time-series data analysis, make sure to mention them. We love seeing practical applications of your skills and how they relate to our work.
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 this exciting opportunity with our team!
How to prepare for a job interview at Fasanara Capital Ltd
✨Know Your Algorithms
Brush up on your knowledge of trading algorithms and quantitative strategies. Be prepared to discuss how you would design and implement these in a high-frequency trading environment. Show them you can think critically about alpha signals!
✨Showcase Your Coding Skills
Since proficiency in Java and Python is key, make sure you can demonstrate your coding skills. Bring examples of past projects or analyses you've done with time-series data. They’ll want to see your practical experience in action!
✨Prepare for Technical Questions
Expect technical questions that test your understanding of quantitative research and trading strategies. Practice explaining complex concepts clearly and concisely. This will show your ability to communicate effectively with senior researchers.
✨Engage with the Team Culture
Research the company culture and be ready to discuss how you can contribute to team events and collaboration. Highlight your enthusiasm for working in a dynamic environment, as they value team players who can thrive in their setting.
