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- Tasks: Join our On-Chain Alpha Research team to analyze blockchain data and generate trading insights.
- Company: Hermeneutic Investments is a fast-growing crypto hedge fund with impressive returns and a dynamic team.
- Benefits: Enjoy a hybrid work environment, cutting-edge technology, and opportunities for professional growth.
- Why this job: Be part of a pioneering team in the crypto space, making impactful decisions in digital asset markets.
- Qualifications: Expertise in blockchain data analysis or engineering, with proficiency in Python and SQL required.
- Other info: Candidates can excel in either analysis or engineering, with opportunities to develop skills in both areas.
The predicted salary is between 60000 - 84000 £ per year.
Senior On-Chain Data Analyst & Engineer, Crypto Native Hedge Fund
Hermeneutic Investments London, United Kingdom
We are a rapidly growing crypto hedge fund, 2 years old, managing a 9-figure AUM, generating 200%+ annualized returns with a 4 Sharpe.
Our team has grown to approximately 40 professionals across Trading & Research, Technology, and Operations.
About the role
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.
Our Requirements
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.
- 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
Desired Personal Attributes
- Highly self-motivated team player with a proactive mindset.
- Strong sense of ownership, consistently delivering high-quality work.
- Strong cross-functional skills and ability to operate in ambiguous and fast-moving problem spaces.
- Capable of quickly learning and applying new tools, technologies, and proprietary systems.
Interview Process
- Introduction / Technical Screening with Senior Onchain Data Engineer
- Domain Knowledge Interview with Senior Blockchain Researcher
- On-Chain Take-Home Project
- Presentation of project to Researchers and Engineers
- Team Fit Interview with On-Chain Data Analyst Team
- Interview with Chief of Staff
- (Optional) Interview with Founders
To increase your chances of entering our interview process, please include in your application, your specific:
- Experience with specific blockchain data structures and protocols
- Examples of blockchain data pipelines you’ve built
- Understanding of DeFi mechanics and on-chain analytics
#J-18808-Ljbffr
Senior On-Chain Data Analyst & Engineer, Crypto Native Hedge Fund employer: Hermeneutic Investments
Contact Detail:
Hermeneutic Investments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior On-Chain Data Analyst & Engineer, Crypto Native Hedge Fund
✨Tip Number 1
Make sure to showcase your experience with specific blockchain data structures and protocols during the interview. Highlight any projects where you've successfully built blockchain data pipelines, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the tools and technologies mentioned in the job description, such as Web3.py, Snowflake, and dbt. Being able to discuss your proficiency with these tools will show that you're ready to hit the ground running.
✨Tip Number 3
Prepare to discuss your understanding of DeFi mechanics and on-chain analytics. Having concrete examples of how you've applied this knowledge in previous roles can set you apart from other candidates.
✨Tip Number 4
During the interview process, emphasize your ability to collaborate with cross-functional teams. Share examples of how you've worked with researchers or engineers to deliver actionable insights, as teamwork is crucial in this role.
We think you need these skills to ace Senior On-Chain Data Analyst & Engineer, Crypto Native Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with blockchain data structures, protocols, and any relevant projects you've worked on. Emphasize your skills in Python, SQL, and any tools mentioned in the job description.
Craft a Strong Cover Letter: In your cover letter, express your passion for the crypto space and detail how your background aligns with the responsibilities of the role. Mention specific examples of on-chain data analysis or engineering work you've done that relates to the position.
Showcase Relevant Projects: Include links or descriptions of any blockchain data pipelines you've built or significant projects you've contributed to. This will demonstrate your hands-on experience and technical expertise.
Highlight Collaboration Skills: Since the role involves working closely with researchers, mention any past experiences where you collaborated on projects. Highlight your ability to communicate complex data insights effectively to cross-functional teams.
How to prepare for a job interview at Hermeneutic Investments
✨Showcase Your Blockchain Knowledge
Be prepared to discuss your understanding of blockchain data structures, event logs, and parsing techniques. Highlight any specific experiences you have with major blockchain RPCs and indexers, as well as your familiarity with DeFi protocols and token economics.
✨Demonstrate Technical Proficiency
Make sure to showcase your skills in Python and SQL, especially in the context of building blockchain data pipelines. Be ready to provide examples of production-grade pipelines you've developed and how you've ensured data quality and consistency.
✨Prepare for Collaborative Scenarios
Since collaboration is key in this role, think of examples where you've worked with researchers or cross-functional teams. Be ready to discuss how you’ve contributed to on-chain analyses and supported research with actionable insights.
✨Highlight Your Problem-Solving Skills
The interview process will likely include scenarios that test your ability to operate in fast-moving environments. Prepare to discuss how you've tackled ambiguous problems in the past and your approach to quickly learning new tools and technologies.
