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PayPal Director Risk Partnership Solutions Analytics 
France, Occitania, Toulouse 
28602555

Yesterday

Essential Responsibilities:

  • Develop and implement the overall data science strategy, aligning with corporate goals and objectives.
  • Lead the design and execution of advanced data science projects to support strategic decision-making.
  • Collaborate with executive leadership to identify and prioritize data-driven opportunities.
  • Oversee the development and maintenance of data infrastructure, ensuring scalability and efficiency.
  • Ensure compliance with data privacy and security regulations.
  • Drive innovation in data science practices and tools, staying ahead of industry trends.

Expected Qualifications:

  • 10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • 2 years of experience leading others

Additional Responsibilities & Preferred Qualifications

• Lead the development of analytics frameworks and dashboards for card network reporting and marketplace signal curation
• Oversee data pipeline architecture, ETL processes, and data delivery mechanisms for external risk signal marketplace
• Build and maintain risk narrative templates and storytelling frameworks for card network partners
• Partner with Risk Partnerships and Product teams to define marketplace signal catalog and quality standards
• Establish team KPIs and manage performance of analytics professionals
• Collaborate with Data Science, Data Engineering, and Risk Operations to source, validate, and deliver risk signals
• Develop long-range analytics roadmap aligned with card network partnership strategy and marketplace growth
• Present insights to senior leadership, card network executives, and potential marketplace customers
• Ensure data quality, accuracy, and compliance in all card network responses and marketplace data products
• Drive innovation in fraud and credit risk analytics methodologies and signal development

What do you need to bring

• Deep expertise in risk analytics for payments, fraud prevention, and credit risk

• Proven experience managing high-performing analytics teams

• Proficiency in SQL, Python, and BI tools (Tableau, PowerBI)

• Experience building scalable data products and API-based delivery mechanisms

• Understanding of data marketplace platforms and B2B data commercialization

• Track record of influencing decisions at the executive level through data insights

• Strong technical acumen to partner effectively with Data Engineering and Product teams

• Experience with cloud data platforms (GCP, Snowflake, or similar)

• Fintech or payments industry experience required

• Familiarity with fraud and credit risk analytics methodologies and signal development

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $188,000 to $323,950


Our Benefits:

Any general requests for consideration of your skills, please