## 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
Research fraud and user behavior to contribute to machine learning models, rules and other detection systems in partnership with our Fraud Data Science team
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
Apply Now
Apply Now