Remote Otter LogoRemoteOtter

Quantitative Research and Optimization Specialist - Remote

Posted 120 weeks ago

Overview

Gauntlet leads the field in quantitative research and optimization of DeFi economics, managing market risk and ensuring economic safety for protocols across DeFi.

In Short

  • Manage market risk and optimize growth in DeFi protocols.
  • Conduct quantitative research to inform risk models and analysis.
  • Collaborate with a passionate team dedicated to innovation.
  • Work in a remote-first environment with a home base in New York City.
  • Engage in cutting-edge research published in peer-reviewed papers.
  • Support the understanding of decentralized financial systems.
  • Explore various opportunities within the company.
  • Foster collaboration and deep discussion to meet customer needs.
  • Drive adoption and understanding of future financial systems.
  • Contribute to the management of over $35 billion in customer TVL.

Requirements

  • Experience in quantitative research and data analysis.
  • Strong understanding of DeFi and blockchain protocols.
  • Ability to work collaboratively in a remote team.
  • Excellent communication skills for presenting research findings.
  • Passion for financial innovation and technology.
  • Experience with smart contract development is a plus.
  • Ability to manage and analyze large datasets.
  • Critical thinking and problem-solving skills.
  • Willingness to engage in continuous learning and research.
  • Strong analytical skills and attention to detail.

Benefits

  • Remote-first work environment.
  • Opportunity to work on cutting-edge financial technology.
  • Collaborative and innovative team culture.
  • Access to professional development resources.
  • Flexible work hours.
  • Competitive salary and benefits package.
  • Engagement in meaningful projects impacting the DeFi space.
  • Support for research and publication opportunities.
  • Work with a diverse and passionate team.
  • Opportunity to influence the future of financial systems.

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