In this role, you will:

📍Monitor real-time events/transactions flagged for fraud and abuse and manually review them using fraud subject matter expertise 📍Lead root cause analysis to identify opportunities to predict, prevent, and mitigate fraud risk according to business expectations 📍Investigate individual events using internal policies and review methodologies to determine if the transactions/events are fraudulent or not 📍Understand our products, systems and tools; investigate behavioral patterns through data analysis using SQL and other data scripting and visualization tools 📍Triage and forensically investigate fraud related escalations from internal and external stakeholders in a professional and efficient manner

About You:

📍Bachelor’s degree in a quantitative field 📍5+ years of experience in investigating and resolving fraud incidents 📍Experienced in analyzing data and comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment 📍3+ years of experience working with data; proficient in SQL 📍Programming experience in at least one high-level programming language (e.g., Python) 📍Attention to detail and ability to multitask 📍Excellent problem-solving and analytical skills 📍Strong business judgment and communication skills 📍Availability during periods of heightened risk (including on weekends and holidays) 📍Work experience in fintech, payments, lending, banking, or financial institutions is a plus 📍Ideal candidate will be available to start within two weeks following an offer