Fraud & Risk Analyst - Swan Bitcoin

The Role

Swan is seeking an analytical and detail-oriented Fraud & Risk Analyst to join its Payments Risk team. This role is fundamental to protecting Swan and our clients from financial crime and security threats. The ideal candidate is laser-focused on ensuring the integrity of our platform, and excels at prioritizing issues and using analytical tools to identify suspicious activity to keep Swan and its clients safe.

Your responsibilities

• Case Investigation: Conduct daily reviews of user accounts and transactions flagged for suspicious activity by our monitoring systems.
• Threat Analysis: Perform thorough investigations into fraud alerts, account takeovers, and other security incidents to determine root causes, assess risk, and take decisive action.
• Loss Prevention: Proactively identify and mitigate financial losses resulting from payment reversals, unauthorized transfers, and other fraudulent activities.
• Process Improvement: Identify gaps in current fraud detection and prevention processes and contribute ideas to enhance our tools, rules, and workflows.
• Cross-Functional Collaboration: Work closely with our Client Services, Product, Security, and Engineering teams to share findings, resolve complex cases, and strengthen Swan’s overall risk posture.

Skills and experience that will help you succeed

• 3+ years of experience in a relevant field such as fraud prevention, client services, trust & safety, or administrative processing in a fintech setting
• A reliable and consistent work ethic, with the ability to independently manage and prioritize a daily case load
• Exceptional attention to detail and strong analytical and problem-solving skills
• Excellent written communication skills for documenting case findings and collaborating effectively with internal teams
• Comfortable working independently in a remote-first environment using tools like Slack
• Experience working at a fintech, banking, investing, or Bitcoin company, preferred
• Proficiency with data analysis tools (e.g., Excel/Google Sheets, SQL) to identify trends and patterns, preferred
• Familiarity with ACH, wire transfers, and associated fraud vectors, preferred
• Must be able to work within standard US business hours
• Compensation for this role will be based on location and experience, and may include base salary, equity, benefits