Position overview

We are seeking a Senior Data Analyst with experience in the anti-financial crime (AFC) domain to join us. This role focuses on leveraging advanced data analytics to automate reporting processes, refine transaction monitoring systems, and develop sophisticated tools and models for detecting and preventing financial crimes. Reporting to the Head of Data and in close collaboration with the AFC Team, the successful candidate will possess a unique blend of technical skill and business insight, playing a key role in fortifying our anti-financial crime strategies and operations.

Responsibilities

• Develop and implement solutions to streamline data reporting and processing, ensuring efficiency, accuracy, and reliability in financial crime detection and prevention efforts.
• Utilize advanced analytics to assess the performance of existing transaction monitoring systems. Identify areas for improvement to enhance detection accuracy and reduce false positives; develop models to identify patterns and anomalies indicative of financial crimes, enhancing our predictive capabilities.
• Profile customer behaviors and contribute to the development of more targeted and effective anti-financial crime systems.
• Make data available to stakeholders, assist them in interpreting and using it for their daily tasks and provide actionable recommendations based on analyses.
• Synthesize findings and communicate them in a practical and actionable manner through visualizations and storytelling.
• Develop self-service data tools that allow the AFC team to generate custom reports and data extracts independently, reducing the dependency on ad-hoc requests.
• Attend the reporting requirements of the organisation: from ad-hoc requests to recurring anti-financial crime and regulatory reports.
• Ensure the quality, reliability, and accuracy of all reports and analyses.
• Continuously seek ways to improve data-related processes, including report automation, data quality assurance, and advanced analytics techniques.

Requirements

• Demonstrated proficiency in using SQL and Python for data analysis, with a strong foundation in automating data processes and developing analytics solutions in the AFC domain. 
• Exceptional ability in data manipulation, structuring, and wrangling, with expertise in analyzing transaction data for fraud detection.
• Extensive experience with statistical modeling, and predictive analytics, specifically applied to financial crime detection and prevention.
• Understanding of the financial crime landscape, including regulatory requirements and best practices in fraud detection.
• Outstanding business acumen with a customer-centric approach, excellent stakeholder management, and collaboration skills coupled with strong ability to communicate complex data-driven insights in a clear and effective manner, catering to both technical and non-technical audiences.
• Exceptional analytical skills, showing a methodical and logical approach to problem-solving, complemented by accuracy and attention to detail.
• Familiarity with Google Cloud Platform (GCP) products and services, such as BigQuery, Cloud Functions, Vertex AI and Looker, is highly desirable.
• Prior experience in fintech or the crypto market is preferred, offering a nuanced understanding of the unique challenges and opportunities in these sectors.

Other requirements

• A dedicated workspace.
• A reliable internet connection with the fastest speed possible in your area.
• Devices and other essential equipment that meet minimal technical specifications.
• Alignment with Our Values and the Xapo Values-Driven Leadership principles.