Quantitative Trader [28203]
: Job Details :


Quantitative Trader [28203]

Stealth

Location: New York,NY, USA

Date: 2024-12-01T03:22:07Z

Job Description:

About Us:

We are a Stanford-driven, forward-thinking organization at the forefront of cryptocurrency markets, redefining the landscape of digital asset trading. Our mission is to combine advanced quantitative research with cutting-edge technology to uncover new opportunities and create innovative strategies. With a collaborative, high-performance culture, we strive to empower traders and technologists alike to excel in the rapidly evolving world of decentralized finance. Join us and shape the future of cryptocurrency trading through ingenuity, precision, and passion.

About the job

Quantitative traders research, develop, and refine new cryptocurrency trading strategies and monitor existing positions across protocols and exchanges. The role will straddle analyzing new opportunities, formulating and testing methods for capitalizing upon them, and developing algorithmic execution to put them into operation.

The ideal candidate would bring a deep understanding of cryptocurrency markets, have multiple years' experience trading at an institutional desk, and arrive with one or more tested strategies that could be integrated with the firm's algorithmic execution for rapid deployment. However, to the extent that strategies remain in the late development or testing stages, such candidates with sufficient market experience should certainly apply as well.

The following skills and experience will be required for all applicants:

  • Extremely strong quantitative and analytical background
  • Relevant experience in statistical modeling
  • 3+ years' industry experience developing and evaluating trading strategies in liquid markets
  • Proficiency in Python
  • Experience investing or trading in cryptocurrency markets
  • Deep understanding of derivative instruments
  • Understanding of market-making spot and futures on centralized order books

The following skills would be very helpful, and would help a candidate grow the role going forward:

  • Proficiency in C++
  • Experience trading on DeFi platforms
  • Experience market-making options

Apply Now!

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