Senior Data Analyst - Fraud Risk at Wise

About this role:  We are looking for a Senior Data Analyst to lead risk analytics for financial crime risk management at Wise. This is a dedicated risk function embedded in the analytics teams to support the development and evolution of quantitative risk management strategy for Wise. Financial Crime is one the the most critical risk domains for Wise and therefore this role requires a very hands on approach to building solutions that are scalable and actionable.  We are seeking a highly skilled and inquisitive Senior Risk Analyst to join our Financial Crime Analyst team. This role sits at the intersection of analytics and mission-critical risk management, supporting Wise’s efforts to proactively identify, measure, and mitigate financial crime risks. As financial crime risks become increasingly complex and data-driven, we’re looking for a quantitative expert who can combine deep technical proficiency with a sharp understanding of risk management. You’ll play a pivotal role in shaping how we proactively identify, monitor, and respond to risks. You will drive meaningful impact by embedding a robust risk quantification program across your domain. If you’re passionate about solving complex risk problems and want to make a tangible impact while helping Wise scale its mission of money without borders, we’d love to hear from you. No prior risk experience? No problem. If you're an experienced Product or Data Analyst interested in moving into the risk or fraud space, we’d also be excited to hear from you. Your mission: At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.  Here’s how you’ll be contributing to the Financial Crime team: • Design, develop and maintain a dashboard of KRIs and relevant Risk appetites for Fraud risk management. This includes defining relevant tolerance and granularity of KRIs and drill downs necessary to swift identify and action risk deterioration. • Proactive identify and lead risk initiatives in Fraud including development of metrics, running deep dives, trend analysis, incident thematics or risk concentrations - your inputs will be a critical driver to build a more proactive risk management program. • Provide analytical inputs requiring quantitative assessments such as but not limited to product changes, inherent risk assessment frameworks, issues rating analysis, scenarios testing, incident reviews, risk and KRIs appetites setting, regional impact assessments  • Responsible for working with financial crime risk managers in ensuring control assurance testing adequately covers relevant scenarios for DE and OE testing in the first line. • Provide quantitative risk analysis to support quarterly risk assessments for risk governance committees. This would also include from time to time also present on relevant risk topics and deep dives as necessary in the risk committees and product planning forums. • Collaborate with second line model risk management function and participate in relevant associated forums. • Working with Compliance Managers, CRO and other key risk stakeholders in defining and implementing risk strategy for financial crime risk analytics. This role will give you the opportunity to:  • Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money • Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data! • Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on. • Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.