Remote Crypto Data Analyst Intern

Description:

• Blockhouse is seeking a Quantitative Market Data Analyst Intern to enhance data curation capabilities in the blockchain and cryptocurrency markets.
• The intern will gather, clean, and organize large-scale datasets from blockchain networks and cryptocurrency exchanges, ensuring data consistency, accuracy, and integrity.
• Responsibilities include leveraging AWS services to process and manage data pipelines, implementing data extraction processes, and developing data handlers for blockchain-specific data structures.
• The intern will also address complex scenarios in blockchain transactions and develop methods to measure transaction costs, slippage, and liquidity in cryptocurrency markets.
• The role involves analyzing multi-asset and cross-chain trades to optimize data alignment and accuracy for analytics and trading strategies.

Requirements:

• Candidates should be currently pursuing or have completed a Bachelor’s, Master’s, or PhD in Computer Science, Financial Engineering, Mathematics, Data Science, or related fields.
• Proficiency in Python for data analysis and pipeline development is required.
• Hands-on experience with AWS tools such as S3, Redshift, and Athena is necessary.
• Familiarity with blockchain protocols and cryptocurrency exchange APIs is essential.
• Experience with cryptocurrency market data formats and structures is required.
• Knowledge of SQL for querying and aggregating blockchain and crypto data is necessary.
• Optional skills include JavaScript for Web3 development, Solidity for smart contract analysis, and Go or Rust for high-performance blockchain ecosystems.
• Understanding of crypto market dynamics and strong analytical and problem-solving skills are required.
• Effective communication skills to convey technical insights across multidisciplinary teams are essential.

Benefits:

• Interns will work in an innovative environment on groundbreaking financial data analytics projects.
• The opportunity to collaborate with a team of top-tier talent and learn from experienced professionals in finance and technology is provided.
• Interns will develop expertise in financial data engineering, AWS infrastructure, and quantitative analytics.
• Compensation is equity-only, reflecting the value of contributions made by the intern.
• The role offers flexibility with part-time hours of 20-30 per week and immediate start dates.
• Support for international students includes e-verification, CPT/OPT documentation, and flexible international payment arrangements.