
Job Overview
Location
Tel Aviv Office
Job Type
Full-time
Category
Data Science
Date Posted
July 4, 2026
Full Job Description
đź“‹ Description
- • Design and optimize prompts for large language models (LLMs) to efficiently extract structured data from blockchain and web3 sources for fraud detection and threat intelligence.
- • Research and define emerging types of cryptocurrency scams, scammer behaviors, and fraudulent patterns by analyzing public and proprietary data across the web.
- • Analyze and monitor data pipelines using SQL to ensure accuracy, completeness, and reliability of inputs for AI-driven threat detection systems.
- • Work with large-scale blockchain databases to query, validate, and enrich datasets used in AI models for identifying illicit financial activity.
- • Collaborate with data scientists and engineers to translate customer and team requirements into actionable data extraction workflows powered by LLMs.
- • Investigate online fraudulent activity by cross-referencing blockchain transaction data with external intelligence sources to uncover hidden connections and anomalies.
- • Develop data-driven solutions to detect and classify scam transactions with high precision, leveraging both rule-based and AI-enhanced methodologies.
- • Continuously improve existing prompt frameworks by testing variations, measuring output quality, and iterating based on performance metrics and feedback.
- • Stay current with evolving blockchain protocols, cryptocurrency trends, and emerging AI techniques to ensure prompt systems remain effective against new threat vectors.
- • Proactively challenge existing methods and propose innovative approaches to enhance data extraction efficiency and reduce false positives in fraud detection.
- • Engage in cross-team collaboration to align prompt engineering outputs with broader AI initiatives and regulatory compliance needs within Chainalysis’s blockchain intelligence platform.
- • Use Python to automate data processing tasks, validate LLM outputs, and support the development of scalable data flows for AI-powered fintech applications.
- • Maintain a deep understanding of Chainalysis’s proprietary blockchain data platform and ensure all prompt-driven analyses align with its architecture and data standards.
- • Contribute to a culture of AI fluency by independently experimenting with tools, documenting findings, and sharing insights to elevate team-wide capabilities.
- • Take ownership of output quality, ensuring all data extracted via prompts meets the high standards required for regulatory reporting and customer-facing intelligence products.
- • Operate in a fast-paced environment where rapid adaptation to new blockchain developments and threat landscapes is critical to mission success.
🎯 Requirements
- • 2+ years’ experience as a data analyst
- • Excellent analytical skills
- • Strong SQL skills with experience in querying large, complex data sets
- • Experience with Python data functions
- • Fluent English (written & verbal)
- • Good interpersonal communication skills
🏖️ Benefits
- • Opportunity to work at the intersection of blockchain data and cutting-edge AI
- • Access to proprietary blockchain intelligence platform used by global institutions
- • Culture of autonomy and experimentation with AI tools and workflows
- • Collaborative environment with globally distributed teams of top-tier talent
- • Role focused on solving high-impact problems in cryptocurrency fraud and threat intelligence
- • Commitment to diversity, inclusion, and continuous learning across the organization
Skills & Technologies
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About Chainalysis Inc.
Chainalysis Inc. provides blockchain data analytics and compliance software to governments, banks, and private-sector clients. Its platform traces cryptocurrency transactions to investigate illicit activity, assess risk, and ensure regulatory compliance. Founded in 2014 and headquartered in New York City, the company indexes on-chain data across multiple blockchains, offering investigation, risk management, and compliance tools that help institutions transact safely with digital assets and support law enforcement in tracking ransomware, money laundering, and other financial crimes.
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