Senior On-Chain Analyst and Data Engineer

We are seeking a Hybrid On-Chain Data Analyst and Engineer to leverage cutting-edge technology and data-driven strategies, identifying and capitalizing on opportunities in the digital asset markets.

This role will be an integral part of our On-Chain Alpha Research team, focusing on generating trading ideas through thorough on-chain research. By combining expertise in On-Chain Data Engineering and Data Analysis, you will support our on-chain researchers and deliver actionable insights, contributing directly to the continued growth of our profitability.

We recognize that the responsibilities of this role span across two distinct areas. While our ideal candidate has expertise in both areas, we welcome candidates who excel in one area and are eager to develop expertise in the other.

Responsibilities

On-Chain Data Analysis

• Collaborate with researchers to design datasets, metrics, and wallet attribution models for alpha generation and trading strategies.
• Develop algorithms for wallet behavior analysis using graph analytics and identify key market participants.
• Create and maintain dashboards and visualizations to make blockchain data actionable for cross-functional teams.
• Analyze data to identify trends, correlations, and anomalies, providing insights to drive strategic decisions.
• Proactively explore new data sources and adapt quickly to emerging blockchain trends and technologies.

On-Chain Data Engineering

• Design, build, and optimize scalable pipelines and Snowflake data warehouses for ingesting, transforming, and integrating high-volume blockchain datasets.
• Ensure data quality, consistency, and real-time monitoring using tools like DBT, Web3 libraries (e.g., Web3.py), and validation processes.
• Collect, clean, and integrate large on-chain and off-chain datasets to analyze tokenomics, fund allocations, and market dynamics.

We've divided our requirements into on-chain domain expertise (data analysis) and technical skills (data engineering).

Domain Expertise (On-Chain Data Analysis)

Blockchain Data

• Deep understanding of blockchain data structures, event logs, and raw blockchain data parsing.
• Proficiency with major blockchain RPCs and indexers (e.g., The Graph, Dune) and experience indexing large-scale blockchain data.
• Knowledge of DeFi protocols, token economics, and on-chain metrics.
• Expertise in cross-chain bridges, L2 data, wallet tagging, attribution analysis, and genesis analysis across chains.
• Experience developing custom schemas, alerts, and dashboards (e.g., Dune, Flipside, The Graph) to track and support on-chain metrics and analysis.

Crypto Markets

• Familiarity with DEX and CEX market data, including AMMs, liquidity pools, and orderbook data.
• Knowledge of MEV, transaction ordering, and gas optimization strategies.
• Ability to generate insights and analysis for on-chain events, including MEV-related data and cross-chain bridge monitoring.

Research Support

• Proven ability to collaborate with on-chain researchers for blockchain-specific analyses.
• Experience building on-chain signals, indicators, and visualizations to support research.
• Understanding of blockchain-specific performance constraints and MEV protection strategies.

Technical Expertise (On-Chain Data Engineering)

Data Infrastructure

• Expertise in designing scalable pipelines for multi-chain data ingestion and real-time blockchain event processing.
• Ability to create unified views across different chains and L2s.
• Proficiency in building robust data quality checks for blockchain data and implementing cross-chain engineering solutions.
• Experience identifying anomalies and insights through on-chain data.

Engineering Excellence

• Proven ability to build production-grade blockchain data pipelines with high-performance RPC and indexing capabilities.
• Expertise in pricing API integration with CEXes/DEXes and 3rd-party services.
• Skilled in cross-chain data synchronization and blockchain-specific error handling and recovery.
• Experience with production blockchain data pipelines and smart contract analysis, including event tracking.

Tools and Technologies

Required:

• Experience operating blockchain nodes and working with Web3 libraries/tools.
• Advanced proficiency in Python and SQL.
• Hands-on experience with blockchain data pipelines in production environments.

Bonus:

• Exposure to zero-knowledge proof systems and proprietary trading environments.
• Experience in MEV-related data analysis and cross-chain bridge monitoring.
• Familiarity with generating insights from on-chain events and optimizing blockchain performance constraints.

Our Technical Stack

Blockchain: Web3.py, Ethers.js, blockchain RPCs & Nodes
Data Processing: The Graph, Dune Analytics
Data Warehouse: Snowflake
Data Transformation: dbt
Programming: Python, SQL, Solidity (basic understanding)
Real-time Processing: Kafka/Flink for blockchain events
Infrastructure: AWS/GCP/Azure
Monitoring: Blockchain-specific metrics and alerts

Interview Process

1. Introduction / Technical Screening with our Senior On-Chain Data Engineer
2. Domain Knowledge Interview with our Senior Blockchain Researcher
3. On-Chain Take-Home Project
• Presentation of project to Researchers and Engineers
• Team Fit Interview with members of our On-Chain Data Analyst Team
4. Additional rounds may be conducted as necessary with other team members or our partners.

Throughout the process, you'll be assessed for cultural fit through our company values:

1. Drive - We believe the best team members are passionate about what they do, and that propels them to greater heights in their career. It drives them to be part of the best teams where they are exposed to the best ideas.
2. Ownership - We aim to give ownership interest to as many people in the firm as possible, but in return, we expect everyone to act like owners. "Not my responsibility" is a repugnant phrase to us.
3. Judgement - We look for team members who consistently look at the big picture and spend their time on the activities that most drive PnL. They are pragmatic with their time; they don't stick to their narrow domain if it doesn't move the needle.
4. Openness - We want a culture where we proactively share information with one another and challenge each other with constructive debate to reach the truth.
5. Competence - We value people with high intellectual horsepower. They have already become an expert in one or more domains and learn extremely quickly when in unfamiliar territory.

We are a rapidly growing crypto hedge fund, 2 years old, managing a 9-figure AUM, generating 200%+ annualized returns with a 4 Sharpe.

We've grown to a team of ~40 across Trading & Research, Tech, and Operations.

This is an opportunity to get in on the ground floor of a rapidly growing team and industry. Each member of our team can make large, impactful contributions -- for which we compensate very well, with long-term upside.