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.