Chaos Labs is the first automated, on-chain economic security system designed to optimize risk management and capital efficiency for crypto protocols while safeguarding user funds. We leverage world-class custom EVM simulations to gain a deep understanding of protocol mechanics and scenario implications.

Top-tier protocols such as Aave, GMX, dYdX, Venus, Uniswap, and others rely on our platform and tools to help manage and secure billions of dollars in assets.

We are seeking a skilled and passionate DeFi Data Scientist to join our team. This role requires expertise in blockchain analytics and a strong commitment to advancing decentralized finance. You will be instrumental in deriving actionable insights to support our customers and contribute to the ongoing growth and success of our innovative platform.

Key Responsibilities:

• Lead and conduct cutting-edge research to analyze the behavior and interactions of participants within the decentralized finance ecosystem, driving the development of advanced models for our DeFi simulation platform.
• Communicate your findings and strategic recommendations to internal teams and key stakeholders in the DeFi space, with the opportunity to publish research that shapes industry standards.
• Explore and develop new algorithms and techniques to uncover critical insights related to DeFi protocol security and optimization, enhancing the safety and efficiency of decentralized finance protocols.
• Build sophisticated data models and visualizations using public blockchain data and simulation results, providing clear and actionable analytics to top DeFi protocols like AAVE, Venus, and Radiant.

Requirements:

• 4+ years of professional experience in Data Science, with a strong focus on quantitative analysis and algorithm development.
• At least 2 years of experience in the DeFi or FinTech sectors, with a deep understanding of market dynamics in these areas.
• Proven track record in model development, including production-grade implementation and ongoing performance monitoring.
• Broad understanding of the crypto and blockchain ecosystem.
• Experience with tools such as Dune or familiarity with writing smart contracts.
• Proficiency in Python and relevant data science libraries, along with a solid understanding of machine learning models and techniques