JOB OVERVIEW We are a forward-thinking crypto hedge fund leveraging cutting-edge technology and data-driven strategies to capitalize on opportunities in the digital asset markets. Our data analytics team is critical to our success, supporting our research and trading teams with on-chain insights and actionable analytics. This is an opportunity to: Work with complex blockchain datasets across multiple chains and L2s. Build dashboards and reports to support trading strategies. Create data-driven signals and metrics to inform decision-making. Collaborate with top researchers and traders in the crypto space. This role will directly impact the research and trading strategy by creating clean, reliable data systems and actionable on-chain analytics. RESPONSIBILITIES Data Pipelines and Infrastructure: Build and optimize scalable pipelines for ingesting and transforming blockchain data. Design and maintain Snowflake data warehouses for high-volume blockchain datasets. Use DBT to implement efficient data transformation workflows. Ensure cross-chain data consistency and quality with rigorous validation processes. On-Chain Data Analysis: Extract, clean, and process blockchain data from L1s, L2s, and cross-chain protocols. Work with logs, events, smart contract interactions, and transaction-level data. Analyze activity related to DeFi protocols, token flows, liquidity dynamics, and wallet activity.Use tools like The Graph and Dune Analytics for querying blockchain data. Collaborate with Researchers: Partner with on-chain researchers to design datasets and metrics for alpha generation. Develop indicators, wallet attribution models, and analytics to support trading ideas. Build dashboards and visualizations to make on-chain datasets accessible and useful for research. Python Development: Write scripts for data extraction, cleaning, and transformation. Support real-time blockchain event monitoring and integration with research workflows. Utilize Web3 libraries (e.g., Web3.py) to interact with blockchain RPCs and APIs. QUALIFICATIONS Data Engineering: Strong experience with Snowflake for data warehousing and DBT for data modeling and transformation. Proven ability to design and maintain scalable pipelines for large datasets. Blockchain Datasets: In-depth knowledge of blockchain architectures, event logs, and DeFi protocols. Hands-on experience working with blockchain RPCs, indexers (e.g., The Graph, Dune Analytics), and smart contract data. Familiarity with tokenomics, liquidity pools, cross-chain protocols, and transaction-level data. Research Support: Ability to collaborate with researchers to design and deliver data-driven insights. Experience working on wallet attribution, on-chain metrics, and actionable signals. Strong understanding of DeFi ecosystems and blockchain-specific trading dynamics. Python Development: Proficiency in Python for data processing and pipeline development. Familiarity with Web3 libraries like Web3.py or Ethers.js is a plus. Interview Process 1st round: Technical and cultural screening by Senior Blockchain Researcher 2nd round: Screening by Senior Blockchain Researcher and/or Engineering project 3rd round: Discussion with Senior Blockchain Researchers about project 4th round: Cultural and fit by our CIO. When applying, mention the word CANDYSHOP to show you read the job post completely.