Director, Risk Partnership and Solutions Analytics at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Risk Analytics, Fraud Prevention, Credit Risk, SQL, Python, BI Tools, Data Infrastructure, Data Privacy, Data Security, Data Pipeline Architecture, ETL Processes, Cloud Data Platforms, Data Marketplace, API-Based Delivery, Analytics Frameworks, Performance Management

Industry

Software Development

Description

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. 10+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. 2 years of experience leading others 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 Deep expertise in risk analytics for payments, fraud prevention, and credit risk 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) Familiarity with fraud and credit risk analytics methodologies and signal development Subsidiary:

Responsibilities

Develop and implement the overall data science strategy while leading advanced data science projects. Collaborate with executive leadership to identify data-driven opportunities and oversee data infrastructure maintenance.