Intelligence Analyst

About the role

Join the Alterya team, specializing in AI-driven fintech and threat intelligence, to help institutions protect individuals from fraudulent transactions. This role focuses on designing and optimizing prompts for Large Language Models (LLMs) to extract necessary data. You will contribute to building the data platform for blockchain, cryptocurrency, and web3. In this capacity, you will own the integrity and accuracy of the insights generated through AI-assisted analysis. The position requires a proactive mindset to identify evolving fraud tactics and translate them into effective prompt strategies. You will work closely with engineers and data scientists to ensure that the outputs align with operational security needs. Success in this role depends on your ability to turn complex threat landscapes into clear, actionable intelligence. This is an opportunity to shape how AI tools are leveraged to safeguard the integrity of digital asset ecosystems.

Key facts

What you'll do

• Develop prompts and data flows for Large Language Models to structure unstructured information.
• Investigate online to identify and categorize different types of scams and scammers using open-source intelligence.
• Monitor and analyze data pipelines using SQL to ensure data quality and consistency.
• Work with large-scale data systems to handle high-volume transactional and blockchain data.
• Research needs from customers and internal teams to align analysis with real-world problems.
• Analyze online fraudulent activity by dissecting communication patterns and behavioral indicators.
• Create data-driven solutions to detect scammers by building rules and logic into analytical frameworks.
• Collaborate with cross-functional teams to integrate intelligence findings into product and security workflows.
• Maintain documentation for methodologies and prompt templates to ensure reproducibility and clarity.
• Continuously refine techniques to improve the accuracy and efficiency of automated analysis systems.
• Validate hypotheses through iterative testing and adjust models based on observed outcomes and feedback.
• Support the development of training materials to help stakeholders understand and utilize analytical tools effectively.
• Track emerging trends in blockchain-based fraud to anticipate new vectors of illicit activity.
• Contribute to the enhancement of the data platform by suggesting optimizations and new feature ideas.

Requirements

• Two or more years of experience as a data analyst in a relevant field or comparable role.
• Excellent ability to analyze information and draw meaningful conclusions from complex datasets.
• Strong proficiency in SQL for querying extensive and complex datasets with precision.
• Experience utilizing Python for data functions, including scripting and automation tasks.
• Fluent in English, both written and spoken, to communicate clearly with global stakeholders.
• Good skills in interpersonal communication to collaborate effectively with diverse teams.
• Ability to quickly understand new data and data systems to adapt to evolving requirements.
• A strong sense of ownership over work quality and the implications of AI-generated outputs.
• Willingness to follow Chainalysis guiding principles and contribute to a positive team environment.
• Capacity to manage multiple priorities in a fast-paced, dynamic, and deadline-driven setting.
• Readiness to maintain discretion and handle sensitive information with the highest level of professionalism.
• Commitment to continuous learning and staying updated on advancements in data analysis and blockchain technology.
• Alignment with the company's mission to provide clarity on blockchain activity and financial crime risks.

Nice to have

• Familiarity with blockchain data structures and how transactions are recorded on distributed ledgers.
• Prior exposure to threat intelligence or fraud detection in financial services or technology.
• Experience working with prompt engineering frameworks and LLM experimentation tools.
• Understanding of data visualization concepts and tools to present findings effectively.
• Knowledge of additional programming languages beyond Python that are used in data engineering.
• Experience contributing to open-source projects or collaborative documentation efforts.
• Exposure to regulatory and compliance considerations related to cryptocurrency and anti-money laundering.

Practical notes

• Office-based role in the Tel Aviv office with the expectation of regular attendance.
• Full-time engagement requiring availability during standard business hours.
• Travel is not expected as part of the routine responsibilities for this position.
• Candidates must possess the right to work in Israel without sponsorship for this role.
• The posting will remain open until the position is filled, encouraging early applications.
• Chainalysis is an equal opportunity employer committed to building a diverse and inclusive workforce.
• Employees are encouraged to develop AI capabilities and bring new ideas to innovate work processes.
• Ownership of AI outputs is expected, with an emphasis on quality, transparency, and ethical use of technology.
• This role operates within a framework that values curiosity, rigor, and collaboration at every level.