Prompt Engineer
Chainalysis is the blockchain data platform.
About Chainalysis
Chainalysis offers a blockchain data platform that utilizes sophisticated machine learning and proprietary architecture to handle extensive clustering heuristics, ingest data at scale, and ensure high data accuracy. The platform supports new blockchains and standard tokens automatically, providing comprehensive industry coverage. It simplifies tracing fund flows through complex transactions like bridges, mixers, and DEX swaps. The data provided by Chainalysis is court-admissible and has been instrumental in legal actions. The company provides global, 24/7 support with localized guidance and expertise in various threat typologies and advanced investigative techniques. Through its R&D initiative, Chainalysis Labs, the company continues to innovate and introduce new, unique features and capabilities in blockchain intelligence.
Skills
About the Role
You will design and optimize prompts for LLM models to efficiently extract the data the team needs. You'll dig into questions to uncover deeper insights and better answers, constantly improving existing methods and challenging the status quo. You will build LLM prompts and data flows, research the web to define types of scams and scammers, analyze and monitor data pipelines using SQL, work with big data databases, and research customer and team requirements to create data-driven solutions that detect scammers effectively.
Requirements
- 2+ years' experience as a data analyst
- Excellent analytical skills
- Strong SQL skills with experience querying large, complex data sets
- Experience with Python data functions
- Fluent English (written & verbal)
- Good interpersonal communication skills
- Quick grasp of new data and data systems
Responsibilities
- Build LLM prompts and data flows
- Research the web to find and define types of scams and scammers
- Analyze and monitor data pipelines using SQL
- Work with big data databases
- Research customer and team requirements
- Analyze fraudulent and scam activity online
- Create data-driven solutions to detect scammers effectively