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- Tasks: Develop and deploy algorithmic trading strategies in the crypto market.
- Company: Join a leading global proprietary trading firm with a strong market presence.
- Benefits: Enjoy remote work flexibility, competitive salary, and potential bonuses.
- Why this job: Be part of an innovative team shaping the future of trading with AI and data analysis.
- Qualifications: Bachelor's or higher in STEM; experience in high-frequency trading is essential.
- Other info: Open to discussions on salary and working conditions.
The predicted salary is between 48000 - 84000 £ per year.
Our client is a global top market share high-frequency proprietary trading firm trading across global equities, futures, FX and crypto.
The firm is actively looking for experienced Crypto Quant Traders to develop and deploy algorithmic trading strategies based on patterns in market behaviour.
Preferred crypto trading venue exp: Binance, Upbit, Gate.io, hyperliquid. Must have experience: trading volume driven trading experience to low or rebate maker fees.
Responsibilities
- Designing, implementing, and deploying trading algorithms
- Exploring trading ideas by analysing market data, market micro-structure and alternate data for patterns
- Creating machine learning models
- Backtesting trading strategies, comparing backtest results with live trading
- Contributing to libraries of analytical computations to support market data analysis and trading
- Developing, augmenting, and calibrating exchange simulators
Qualifications
- A Bachelors, Masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree
- Experience in high-frequency trading or quantitative trading
- Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
- Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
- Familiarity with signal generation and statistical models
- Strong programming skills in Python and/or C++
- Experince in HFT with a proven track record is a strong plus
- Math Olympiads / programming competitions (ICPC, Codeforces) / Kaggle Master+ or similar achievements is a Plus
Working conditions
- Remote work from anywhere in the world or from office
- Competitive salary and negotiable pnl cut or discretionary bonuses
- Others on open discussion
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Finance
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Crypto HFT Trader (Remote) employer: Blue Coast
Contact Detail:
Blue Coast Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Crypto HFT Trader (Remote)
✨Tip Number 1
Network with professionals in the crypto trading space. Join online forums, attend webinars, and connect with traders on platforms like LinkedIn. Engaging with the community can lead to valuable insights and potential referrals.
✨Tip Number 2
Stay updated on the latest trends and technologies in high-frequency trading and cryptocurrency markets. Follow industry news, subscribe to relevant newsletters, and participate in discussions to demonstrate your knowledge during interviews.
✨Tip Number 3
Showcase your practical skills by working on personal projects or contributing to open-source trading algorithms. This hands-on experience can set you apart from other candidates and provide concrete examples to discuss in interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to algorithm design and data analysis. Websites like LeetCode or HackerRank can help you sharpen your programming skills in Python or C++.
We think you need these skills to ace Crypto HFT Trader (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in high-frequency trading and quantitative analysis. Emphasise your programming skills in Python and/or C++, as well as any achievements in competitions like Math Olympiads or Kaggle.
Craft a Strong Cover Letter: In your cover letter, express your passion for algorithmic trading and your understanding of market behaviour. Mention specific experiences where you've designed or implemented trading algorithms, and how you can contribute to the firm's success.
Showcase Your Analytical Skills: Provide examples of your data-mining and analysis skills in your application. Discuss any experience you have with back-testing strategies and how you've used statistical techniques to inform trading decisions.
Highlight Relevant Education: Clearly state your educational background, especially if you hold a degree in Mathematics, Statistics, Computer Science, or a related STEM field. Mention any relevant coursework or projects that demonstrate your expertise in quantitative trading.
How to prepare for a job interview at Blue Coast
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and/or C++. Be prepared to discuss specific projects where you've implemented trading algorithms or machine learning models, as this will demonstrate your hands-on experience.
✨Understand Market Micro-structure
Familiarise yourself with the intricacies of market micro-structure and how it affects trading strategies. Be ready to discuss how you analyse market data for patterns and how this has influenced your past trading decisions.
✨Prepare for Backtesting Discussions
Since backtesting is a crucial part of algorithmic trading, be prepared to explain your approach to backtesting strategies. Discuss any statistical techniques you've used, such as auto-regression or Principal Component Analysis, and how they contributed to your trading success.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that test your analytical thinking and problem-solving abilities. Prepare examples from your experience where you had to troubleshoot issues in trading algorithms or adapt strategies based on market changes.
