PayPal
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VP, Risk Data Science & AI
role at
PayPal
Overview Making hyper-accurate risk decisions is core to PayPal’s mission of revolutionizing commerce globally. As Vice President, Risk Data Science and AI, this executive will be responsible for reimagining decisioning with state-of-the-art techniques at PayPal. The candidate will own the strategic and operational plan to modernize every transactional and non-transactional fraud risk decision for PayPal, embedding AI in the core. This executive will accelerate profitable growth at scale for our customers and businesses while keeping the PayPal ecosystem safe. This role encompasses strategy, innovation, and operational execution to enable achievement of business, financial, and customer objectives for PayPal globally. This is a unique opportunity to lead a pioneering team at the forefront of AI and machine learning innovation for millions of consumers and merchants globally.
Responsibilities
Develop and execute the strategy for modernizing fraud risk decisioning at PayPal, implementing cutting-edge techniques such as reinforcement learning, generative AI, and graph mining at scale
Build and lead a high-performing data science, machine learning engineering, and applied R&D teams that thrive on innovation, collaboration, and execution
Attract best-in-class Data Science and AI talent to PayPal
Partner with Product and Engineering to productionize state-of-the-art data, AIOps, MLOps, decision platforms, and real-time fraud management systems
Oversee the design, implementation, and lifecycle of fraud risk models and other advanced capabilities
Evangelize and influence by driving alignment on vision, roadmap, investment needs, risks, and opportunities with large cross-functional teams
Collaborate cross-functionally to advance PayPal’s risk decisioning capabilities across the customer lifecycle and deliver best-in-class risk experiences for PayPal customers globally
Qualifications
12+ years of experience leading cutting-edge data science, machine learning engineering, and applied R&D teams
Subject matter expertise in at least two of: AI, optimization, graph mining, experimentation, and reinforcement learning
Strong leadership skills with a track record of attracting top technical talent and developing high-performing teams
Experience designing and implementing AI systems and tools for real-time decision making in high-velocity environments
Excellent communication skills to convey complex technical concepts to non-technical stakeholders
Demonstrated ability to influence and align senior stakeholders and key partners to drive action and sustainable results in dynamic environments
Familiarity with risk management fields such as fraud prevention; extensive experience is preferred
Advanced degree required; PhD preferred
Compensation and Benefits PayPal is committed to fair and equitable compensation practices. Actual compensation is based on factors including work location, relevant skills and experience. Total compensation may include an annual performance bonus or other incentive compensation, equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
Notice to Applicants and Accessibility PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal Belonging at PayPal means creating a workplace where everyone can do their best work with a sense of purpose and belonging. We are proud to have a diverse workforce reflective of the communities we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
How to Apply For general consideration, join our Talent Community.
Notice to NY residents Notice to Applicants and Employees who reside within New York City: view the notice at https://careers.pypl.com/Contact-Us/default.aspx.
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VP, Risk Data Science & AI
role at
PayPal
Overview Making hyper-accurate risk decisions is core to PayPal’s mission of revolutionizing commerce globally. As Vice President, Risk Data Science and AI, this executive will be responsible for reimagining decisioning with state-of-the-art techniques at PayPal. The candidate will own the strategic and operational plan to modernize every transactional and non-transactional fraud risk decision for PayPal, embedding AI in the core. This executive will accelerate profitable growth at scale for our customers and businesses while keeping the PayPal ecosystem safe. This role encompasses strategy, innovation, and operational execution to enable achievement of business, financial, and customer objectives for PayPal globally. This is a unique opportunity to lead a pioneering team at the forefront of AI and machine learning innovation for millions of consumers and merchants globally.
Responsibilities
Develop and execute the strategy for modernizing fraud risk decisioning at PayPal, implementing cutting-edge techniques such as reinforcement learning, generative AI, and graph mining at scale
Build and lead a high-performing data science, machine learning engineering, and applied R&D teams that thrive on innovation, collaboration, and execution
Attract best-in-class Data Science and AI talent to PayPal
Partner with Product and Engineering to productionize state-of-the-art data, AIOps, MLOps, decision platforms, and real-time fraud management systems
Oversee the design, implementation, and lifecycle of fraud risk models and other advanced capabilities
Evangelize and influence by driving alignment on vision, roadmap, investment needs, risks, and opportunities with large cross-functional teams
Collaborate cross-functionally to advance PayPal’s risk decisioning capabilities across the customer lifecycle and deliver best-in-class risk experiences for PayPal customers globally
Qualifications
12+ years of experience leading cutting-edge data science, machine learning engineering, and applied R&D teams
Subject matter expertise in at least two of: AI, optimization, graph mining, experimentation, and reinforcement learning
Strong leadership skills with a track record of attracting top technical talent and developing high-performing teams
Experience designing and implementing AI systems and tools for real-time decision making in high-velocity environments
Excellent communication skills to convey complex technical concepts to non-technical stakeholders
Demonstrated ability to influence and align senior stakeholders and key partners to drive action and sustainable results in dynamic environments
Familiarity with risk management fields such as fraud prevention; extensive experience is preferred
Advanced degree required; PhD preferred
Compensation and Benefits PayPal is committed to fair and equitable compensation practices. Actual compensation is based on factors including work location, relevant skills and experience. Total compensation may include an annual performance bonus or other incentive compensation, equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
Notice to Applicants and Accessibility PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal Belonging at PayPal means creating a workplace where everyone can do their best work with a sense of purpose and belonging. We are proud to have a diverse workforce reflective of the communities we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
How to Apply For general consideration, join our Talent Community.
Notice to NY residents Notice to Applicants and Employees who reside within New York City: view the notice at https://careers.pypl.com/Contact-Us/default.aspx.
#J-18808-Ljbffr