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Quantitative Researcher – Mid Frequency Crypto

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Quantitative Researcher – Mid Frequency Crypto

Algo Capital Group
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Job Highlights

  • 4+ years’ experience with Python
  • Apply advanced mathematical models
  • Extensive expertise in mathematics and statistics

Quantitative Researcher – Mid Freq Crypto

Apply advanced mathematical models and statistical techniques to develop alpha-generating MFT strategies in crypto. Our client, a world-leading proprietary trading fund is seeking Senior Quantitative Traders to develop and execute mid-frequency trading strategies in the digital asset space. If you have experience in market microstructure, statistical arbitrage and are eager to dive into real-time trading, this role is for you. You’ll collaborate with a multidisciplinary team of engineers and quants to deploy real-time, scalable trading solutions and have the autonomy to implement your own trading strategies.


What you’ll do:

  • Design and implement mid-frequency trading strategies for digital assets.
  • Work closely with infrastructure teams to optimize latency and execution.
  • Leverage data to continuously refine strategies and stay ahead of market trends.


What’s in it for you?

  • Be immersed in cutting-edge mid-frequency trading systems and strategies for the crypto space.
  • Competitive salary with profit-sharing opportunities based on performance.
  • A dynamic and fast-paced environment with tier-1 infrastructure access.


Key Skills & Knowledge:

  • 4+ years’ experience with Python.
  • Extensive expertise in mathematics and statistics, with a particular focus on statistical modelling and signal generation.
  • Experience as a crypto mid-frequency quantitative trader, proven multi-year track record of consistent PnL within a systematic statistical arbitrage context and a 3+ Sharpe ratio.


Please Apply Now for more information.

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More Information

SalaryN/A (Search your salary info in SalaryCheck)
Job Function
Location
  • Hong Kong > Others
Work Model
  • On-site / At the workplace
Industry
Employment Term
  • Full-time
Experience
  • 4 years - 6 years
Career Level
  • Middle management level
Education
  • N/A