WHAT YOU WILL DO

📍Analyse large volumes of transactional and user data to identify patterns, trends, and anomalies indicative of fraudulent behaviour. Use this analysis to suggest possible countermeasures to emerging fraudulent typologies. 📍Monitor key performance indicators (KPIs) and metrics related to fraud prevention efforts, providing regular reports and insights to stakeholders. 📍Conduct ongoing monitoring and evaluation of risk factors, adjusting models and strategies as necessary to adapt to evolving threats and regulatory requirements. 📍Collaborate with cross-functional teams including Engineering, Product Management, and Compliance to integrate risk mitigation strategies into our platform's infrastructure and processes. 📍Communicate findings and insights to key stakeholders through clear and concise reports, presentations, and dashboards. 📍Stay informed about emerging trends, technologies, and best practices in risk management and fraud detection within the cryptocurrency industry. 📍Act as a subject matter expert on fraud-related matters, providing guidance, training, and support to internal teams as needed. 📍Deep dive in how Fraud and Money Laundering works, how different payment methods works and how they are exploited by fraudsters. 📍Your work will have a direct impact on revenues, profitability and UX.

WHAT YOU WILL NEED

📍Min of 3 years of experience in data analysis Bachelor's or advanced degree in STEM field 📍Strong proficiency in data mining, statistical analysis, with hands-on experience using tools such as Python, Bigquery and SQL. 📍Solid understanding of statistical methods, hypothesis testing, and experimental design, with the ability to apply these concepts to real-world problems. 📍Familiarity with blockchain technology, cryptocurrency protocols, and the unique challenges associated with fraud and risk in the crypto space is a plus 📍Excellent analytical and problem-solving skills, with a keen attention to detail and the ability to think critically and creatively. 📍Strong communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. 📍Proven ability to work effectively in a fast-paced, self-structured, and dynamic environment with tight deadlines and evolving priorities. 📍Knowledge of anti-fraud and Fiat payment methods is a plus. 📍Proficiency in machine learning techniques is a strong plus