Fraud Analyst (w/m/d)

at  Billie

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability.

WHO WE ARE LOOKING FOR:

• You have 1-3 years of proven experience in fraud prevention/fraud operations, risk analytics, or risk management
• Excellent communication skills at all levels, from junior analysts to C-level; able to communicate complex topics in simple words
• Experience with translating analytical insights into data-driven business prioritization
• You have proven experience in SQL, Python is a plus
• You are proficient in data visualization and analytics tools, like Tableau, Power BI, Looker
• You have strong business acumen coupled with a highly analytical mindset
• Experience working in a fast-paced and dynamic environment
• Strong sense of responsibility, self-starter, well organized, good planner, able to work independently and meet deadlines
• Excellent organization skills and ability to manage multiple responsibilities
• Previous e-commerce fraud prevention, investigation or banking fraud prevention experience is a plus

ABOUT THE ROLE:

As a Fraud Analyst, you will be part of the bigger decision science team, and will be contributing to one of our core decision areas, responsible for fraud mitigation, which has a direct impact on our business at Billie. In this role, you will support the newly created fraud operations function to detect and investigate suspicious transactions. This includes reactive measures when needed, but more importantly, proactive, scalable and impactful solutions to support in loss prevention before it happens.
To be successful in this role, you should have a solid understanding of the nature of fraud detection and an analytical toolset to match. You will work closely with other fraud operations analysts, but also to the adjacent decision science team, responsible for Billie’s AI-powered fraud detection tools. This impactful role will be at the intersection of business impact, stakeholder management and analytics.

RESPONSIBILITIES:

• Utilize advanced analytics and data-driven insights to identify emerging fraud trends, patterns, and vulnerabilities, driving proactive risk mitigation strategies
• Collaborate with engineering and decision science teams to enhance fraud detection systems to automatically block fraudulent transactions and behaviors
• Support in manual transaction screening and labeling
• Support stakeholders across the business with requests relating to suspicious transactions
• Design and maintain dashboards to monitor and display the effectiveness of anti-fraud measures
• Conduct daily reviews of fraud cases to pinpoint vulnerabilities within the anti-fraud system
• Document existing fraud detection methodologies and metrics