Analyst I, Fraud Strategy and Analytics

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Requirements:

• Minimum 1 year of experience in fraud prevention, risk management, or related fields.
• Prior experience with data analytics in the finance or lending industry preferred.
• Proficiency with data analysis using SQL is required.
• Strong analytical skills with the ability to identify patterns, trends, and anomalies in data.
• Hands-on experience using a scripting language, such as Python or R, for data analysis is strongly preferred.
• Working knowledge of the fundamentals of payment processing.
• Ability to communicate findings and recommendations clearly.
• Strong time management skills and ability to handle multiple projects.
• Bachelor’s degree or equivalent practical experience in a quantitatively rigorous field like engineering, statistics, math, finance, or economics desired.

Responsibilities:

• Help support our team's fraud monitoring, detection and mitigation efforts.
• Participate in a rotation serving as a main point of contact for fraud escalations.
• Research emerging fraud trends by analyzing data and monitoring key fraud metrics.
• Quickly respond to fraud rings and implement new strategies to mitigate emerging fraud threats.
• Assist with the development of our fraud monitoring strategy and identify any potential gaps.
• Work closely with cross-functional partners to improve fraud decisioning systems.
• Assist with the evaluation and development of new features and signals to improve fraud detection capabilities.