Data Scientist 1

Fraud Incident Response & Management (FIRM) is a function in Global Investigations Fraud & Insider Defense (FIND) organization. FIRM is responsible for coordinating the Company s response to fraud attacks and events, driving mitigation, and conducting the requisite data analysis to determine the depth and breadth of fraud events and support potential disclosure requirements. This role is for a Fraud Incident Responder, who will be responsible for complex data analysis in support of fraud incident management and FIRM s broader program. The role requires familiarity with data-driven investigations and cyber-enabled financial crime, as well as proficiency in BigQuary/SQL and practical expertise in data mining and database technologies. The role will require juggling numerous priorities under pressure and working closely with FIRM s Incident Managers, Legal, Regulatory Relations, and leaders across the organization.

• Bachelor s or Advanced degree or the equivalent experience in Computer Science, Engineering, Mathematics, Statistics or a related field
• Proficient in BigQuery and SQL

• Experience in one or more major programming languages (Python, Java, etc.) preferred.
• Experience in Tableau preferred.
• Experience in Hadoop/Hive a plus.

• High level of theoretical and practical expertise in data mining and database technologies.

• Understanding of financially motivated cybercrime trends and typologies.

• Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.

• Proven ability to develop effective, cross-organization relationships, collaborating and communicating across business and technology stakeholders and multiple geographies.

• Drive analyses and investigations to a timely conclusion across multiple platforms and jurisdictions.

• Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.

• Join data between platforms to track disparate fraud signals and develop a holistic view of fraud trends across PayPal s adjacencies.

• Collaborate with organization leaders on developing KPIs and KRIs to measure the health and impact of the program. Expand upon investigative fraud stories by developing statistics and data visualizations to quantify and broadly assess the impact of common root causes on the platform.
• Team player, energetic personality, curious, quality minded, focused, committed, able to work efficiently in a fast paced, changing environment.

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