Kronos Research is hiring a
Web3 Quantitative Analyst

Compensation: $9k - $11k estimated

Location: remote

As a Quantitative Analyst at Kronos, you can combine risk management, research, and technology disciplines to operate trading strategies across cryptocurrency markets. You will work closely with our world-class quantitative researchers, software engineers, and Alpha researchers to maximize and optimize trading opportunities globally. We have a flat organizational structure that is highly merit-based where top performers are rewarded accordingly.

Responsibilities

  • Optimize model configurations based on market conditions
  • Utilize and improve existing trading tools to meet trading project requirements
  • Monitor risk exposure, PnL, and system status of hundreds of trading processes
  • Explore and exploit new arbitrage opportunities
  • Generate constructive feedback on trading system performance by examining system logs and market data for executions
  • Analyze potential trading misbehavior and provide solution
  • Cowork with researcher to improve trading strategies
  • Communication and coordination across teams

Requirements

  • Bachelor's degree in Finance, Economics, Math, Engineering, Sciences (or any quantitative-related major)
  • Passionate about trading and capable of doing fast reactions toward the volatile market conditions
  • Ability to understand and reason about complex trading systems
  • Basic Python programming
  • Strong work ethic and willingness to deal with trading abnormal incidents even in off-duty hours (since crypto markets operate 24/7 continuously)
  • Detail-oriented person with strong problem-solving and multitasking skills
  • Must be motivated, dependable, and responsible
  • Ability to use sound judgment under pressure
  • Excellent communication skills in English
  • Basic SQL and/or scripting knowledge in a Linux environment is a plus
  • Previous trading experience or financial market concepts is a plus

Apply Now:

This job is closed

Compensation: $9k - $11k estimated

Location: remote

This job is closed


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