Senior Data Analytics Specialist
2 days ago
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 Collection, Cleaning & Integration: Collect, clean, and integrate large datasets from various on-chain and off-chain sources across multiple blockchains. Utilize advanced tools and techniques to ensure data quality and comprehensiveness, facilitating a deep understanding of tokenomics, fund allocations, and investment patterns.
Advanced Data Analysis & Trend Identification: Analyze integrated datasets to extract key metrics, identify trends, correlations, and anomalies. Provide actionable insights that drive strategic decision-making and enhance organizational understanding of market dynamics.
Algorithm Development for Wallet Attribution: Develop and implement algorithms to attribute on-chain wallets to major players by analyzing wallet behavior using graph analytics techniques. Leverage network analysis to accurately identify and categorize key market participants, enhancing the organization's ability to monitor and engage with significant entities in the blockchain ecosystem.
Efficient Coding & Real-Time Data Monitoring: Develop and maintain efficient scripts to parse raw data from RPC nodes. Implement real-time monitoring of relevant on-chain events to ensure timely data availability and accuracy for ongoing analysis.
Dashboard Development & Maintenance: Create and manage comprehensive internal dashboards across multiple blockchains. Enable cross-functional teams to effectively measure and track token metrics and activities through intuitive and up-to-date visual tools.
Proactive Data Exploration: Independently identify and seize opportunities for advanced data analysis. Extract and interpret data proactively to support strategic initiatives and achieve organizational goals.
Adaptability & Rapid Learning: Quickly learn and adapt to new blockchain data sources within limited timeframes. Provide actionable insights to research and trading teams to capitalize on emerging market opportunities, ensuring the organization remains agile and responsive to market changes.
Qualifications
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.
Technical Stack
- Blockchain: Web3.py, blockchain RPCs
- Data Processing: The Graph, Dune Analytics
- Graph Analytics Tools: Neo4j
- Data Warehouse: Snowflake, PostgreSQL
- Data Transformation: dbt
- Programming: Python, SQL
- Monitoring: Datadog, Grafana
Interview Process
- CV Screening - Against the criteria above
- (Optional) Recruiter Call - If your CV needs additional screening.
- First interview with the Hiring Manager - Covering both technical and cultural fit
- [Domain Knowledge] Blockchain Data Knowledge Interview
- [Technical Skills] System Design Challenge (focused on blockchain data)
- Team Fit Interviews - Often on-site. Interview with our researchers and rest of team.
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
Throughout the process, you'll be assessed on:
- Blockchain Expertise - Deep understanding of blockchain data structures
- Technical Excellence - Strong SQL, Python, and visualization skills
- DeFi Knowledge - Understanding of crypto trading mechanics
- Research Support - Ability to work with quant researchers
- Problem Solving - Design of blockchain-specific solutions
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