Demo

Senior Researcher

Aeir
New York, NY Full Time
POSTED ON 2/28/2025
AVAILABLE BEFORE 3/17/2025
  • Conduct comprehensive analysis of emerging DeFi protocols and products, focusing on Risk Modeling, Mechanism Design and parameter optimization.
  • Analyze financial data to draw out insights specific to protocol requirements, leveraging key metrics for various analyses.
  • Develop and deliver professional reports with organized data for clients and the broader community.
  • Write formal, rigorous research papers that contribute to the body of knowledge in the DeFi space and support the decision-making process for clients and stakeholders.
  • Engage with clients during the pre-sale phase to understand their needs and develop strategic research plans.
  • Host regular progress meetings with clients, providing updates and insights on research developments.
  • Collaborate with the Chaos Labs product team to recommend data and features for the Chaos Risk Observability and Monitoring portal, enhancing its utility for protocols and communities.

Requirements

  • Proven experience in economic research, risk analysis, or a related field, with a preference for candidates with DeFi space exposure.
  • Strong analytical and problem-solving skills, with a solid history of conducting data-driven research.
  • Excellent communication and presentation skills, capable of compiling and presenting research findings and writing formal research papers.
  • Team player with the ability to work with clients and internal teams to refine product offerings.
  • Proficient in reading and a strong understanding of smart contract code.
  • Comfortable running and modifying Python scripts, and capable of writing basic Python scripts for data fetching and normalization for research purposes.
  • Knowledge of DeFi protocols, financial markets, and black-swan events is highly desirable.

Nice To Have

  • Experience in writing Python scripts and functions to fetch and normalize data to support research activities.

Salary : $150,000 - $180,000

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