Risk Operations Analyst

Join our team as a Risk Operations Analyst, where you will be responsible for monitoring, assessing, and improving fraud detection. You will investigate high-risk accounts and transactions, analyze large datasets, and use fraud detection software to strengthen our monitoring and investigations. You will also prepare reports for leadership and customers, work closely with Product and Engineering, and contribute to cross-functional projects. This role requires strong analytical skills, experience in fraud or risk operations, and the ability to work independently and as part of a team.

• Monitor, assess, and improve fraud detection on behalf of customers by investigating high-risk accounts and transactions.
• Analyze large datasets to detect patterns, trends, and anomalies, and use fraud detection software to strengthen monitoring and investigations.
• Prepare clear reports for leadership and customers on fraud incidents, findings, and recommended improvements, and run regular check-ins with customers.

• You will also have the opportunity to recommend and implement best practices to detect and prevent fraud. This role requires a self-starter with strong analytical skills and a passion for fighting fraud
• Familiarity with risk management frameworks and relevant standards
• Comfortable speaking and presenting to customers and leadership
• Able to work independently as well as part of a team, and to prioritise multiple tasks and change direction in a very fast-paced environment
• Takes ownership and brings energy and urgency to solving problems, with a willingness to dig deep to find the answer
• Experience improving or automating workflows is a plus
• Experience working across teams, ideally with Product or Engineering and explaining complex findings simply
• Strong analytical and problem-solving skills, with sound judgment on ambiguous cases
• Fintech, payments, marketplace or startup experience is a plus
• 3+ years of experience in fraud, risk operations, trust & safety, a related investigative field or equivalent experience
• Hands-on SQL for investigations and analysis alongside other data tools (e.g., Excel, Google Workspace)
• Excellent written and verbal communication skills
• Experience with fraud and risk tools