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Staking Rewards

Research Analyst - Hyperliquid Ecosystem

Job Posted 20 Days Ago Posted 20 Days Ago
Remote
8 Locations
Junior
Remote
8 Locations
Junior
The Research Analyst will conduct in-depth research on Hyperliquid's ecosystem, create educational content, build partnerships, and identify improvement opportunities.
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About Us

We're a collaborative team combining Staking Rewards' expertise in staking with loopedHYPE's automated looping strategies to enhance HYPE yields. We aim to make Hyperliquid staking more accessible and profitable.

Location

Remote position within +/-3 hours of CET timezone.

Core Responsibilities

  • Research & Analysis: Conduct deep research into Hyperliquid ecosystem and yield optimization, particularly within HyperEVM. Analyze loopedHYPE's automated looping strategies.
  • Content & Community: Create educational content explaining complex DeFi concepts, manage weekly newsletter, and represent loopedHYPE to users and partners.
  • Business Development: Build partnerships with ecosystem players, identify growth opportunities, and support marketing strategies for loopedHYPE.
  • Product Improvement: Identify enhancement opportunities and collaborate with partners to strengthen the ecosystem.

Qualifications

  • Strong understanding of DeFi, staking, and yield farming mechanisms
  • Experience analyzing tokenomics and developing yield-optimization strategies
  • Proficiency with on-chain analytics tools and dashboards
  • Excellent analytical skills for complex financial data
  • Superior written and verbal communication in English
  • Background in Finance/Economics/Mathematics (or equivalent experience)
  • 2+ years in crypto research, DeFi analysis, or similar roles

Benefits

  • Shape the future of HYPE staking and automated yield strategies
  • Competitive compensation with remote work flexibility
  • Collaboration with leading DeFi teams
  • Professional growth through cutting-edge research with tangible impact

Ready to join? Let's connect!

Top Skills

Defi
On-Chain Analytics Tools

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