Chainlink Labs is a pioneering company in the decentralized oracle network sector, and they are seeking a Data Analyst to contribute to the Economics team. The role involves combining economics, data science, and blockchain expertise to design economic models, optimize network design, and influence decision-making across various teams.
Responsibilities:
- You will serve two primary functions: (1) designing and performing analyses that help the Economics and Executive Leadership teams make informed, data-driven decisions, and (2) building and maintaining systems for the parameterization of production applications
- You will work on a wide array of blockchain economics projects, analyses, and systems, including:
- Designing novel mechanisms and incentive schemes
- Building models and simulations to evaluate investment opportunities
- Designing and parameterizing trading systems
- Optimizing parameters for production applications
- Contributing to the design of Economics programs and applications
- You will optimize network incentives and systems by engaging directly with the Economics, Product, Engineering, Research, and Data Science teams to understand network dynamics at the deepest level
- You will meticulously operationalize processes, and coordinate cross-functionally to implement them
- This is both a highly technical and highly social role. You will have high visibility and a large impact on how Chainlink builds the world’s first fully sustainable decentralized oracle network
Requirements:
- A deep understanding of financial and crypto markets and incentives
- Extensive financial modeling background, including data engineering and model automation
- Strong SQL and Python skills are mandatory
- Substantial data analysis and/or data science experience
- Experience solving economic problems through statistical/econometric analyses
- Meticulous attention to detail
- Strong organizational and coordination skills necessary to productionize and operationalize processes and applications
- Strong Economics and/or Finance background through Masters-level academics and/or multiple years of industry experience
- A proven interest in DeFi and in remaining current with new products and trends
- Experience with LLM-based development tools, onchain data, and orchestration tools such as Airflow and DBT
- Optimization and simulation modeling experience
- Published research with an economics or crypto focus (e.g., papers on MEV or PBS, staking and slashing dynamics, node compensation, tokenomics, etc.)