The Opportunity

Join Webacy as a Risk Researcher and help redefine safety standards in the blockchain ecosystem. In this role, you’ll validate and enhance our cutting-edge risk analysis technology by conducting manual and algorithmic assessments of blockchain activity. Your deep understanding of blockchain systems and financial patterns will drive the development of new risk frameworks, algorithms, and methodologies to better protect users and platforms in web3. If you thrive at the intersection of research, data, and innovation, this is the perfect opportunity to make a tangible impact on the safety of the crypto world.

Requirements

• 3+ years of experience in blockchain research, crypto forensics, or financial risk analysis.
• In-depth understanding of blockchain technology, including wallets, transactions, and smart contracts.
• Strong experience with blockchain data analysis tools (e.g., Chainalysis, Arkham, Nansen, Dune Analytics, Etherscan).
• Proficiency in Python, SQL, or other programming languages used for data analysis.
• Knowledge of machine learning algorithms and statistical methods is a strong plus.
• Familiarity with DeFi protocols, NFT marketplaces, and financial patterns in crypto trading.
• Proven ability to design and implement frameworks for assessing risk in blockchain environments.
• Strong analytical mindset, with attention to detail and a proactive approach to problem-solving.
• Excellent communication skills, with the ability to present complex data and frameworks to technical and non-technical stakeholders.
• Academic background in research, mathematics, economics, or related fields.
• Passion for advancing trust and safety in web3 ecosystems.

Key Responsibilities

• Validate Webacy’s risk analysis technology by conducting manual assessments of blockchain addresses and transactions.
• Identify patterns of fraudulent or high-risk behavior on-chain and develop algorithms to detect them.
• Design and implement new frameworks for risk assessment based on deep blockchain knowledge and emerging trends.
• Conduct technical analysis of financial patterns in crypto trading to improve risk algorithms.
• Collaborate with engineering and data science teams to refine and scale risk assessment models.