Quantitative Researcher

About Us

OpenBlock is a data-driven platform dedicated to fostering sustainable growth within decentralized protocols. Our product powers incentive recommendations for leading protocols in the space, including: EigenLayer, Lido, Arbitrum, Solana, Sui, Uniswap, Scroll, Fuel, Linea, Mode, and many others.

OpenBlock is backed by notable investors, including: Foundation Capital, Electric Capital, Circle Ventures, AlleyCorp, and others. Our team of 40+ has backgrounds from Stanford, a16z, Carnegie Mellon, Meta, Palantir, and other top-tier institutions.

We invite you to explore our work at www.openblocklabs.com

Responsibilities:

• Perform exploratory quantitative research to design complex incentive optimization models for various blockchain protocols, and gain insights into how markets behave.
• Participate in research projects, and stay up-to-date on innovative topics within the quantitative field.
• Gather relevant data from various sources within the DeFi ecosystem, including blockchain data, user interactions, transaction history, etc.
• Collaborate with developers to ensure data collection methods are efficient and scalable.
• Conduct simulations and scenario analysis to evaluate the impact of different strategies on protocol performance.

Qualifications

• A master's or doctoral degree in a quantitative field such as statistics, computer science, mathematics, economics, or a related discipline.
• Strong understanding of data science concepts, machine learning algorithms, and statistical techniques.
• Fundamental understanding of decentralized finance (DeFi) concepts and protocols is a plus.
• Prior quantitative analyst role at a trading firm highly preferred.
• Fundamental understanding or expertise in game theory, mechanism design, protocol design would be great to have.
• Excellent written and verbal communication skills with the ability to convey technical concepts to both technical and non-technical audiences.
• Willingness to adapt to a rapidly evolving industry and learn new technologies, tools, and methodologies as needed.
• Ability to thrive in a dynamic, fast-paced environment with shifting priorities and timelines.

Salary ranges provided for US based candidates.