PayPal · 2 days ago
Manager, Data Science, Fraud Incidents
Austin, Texas, United States of America
Full-time
Hybrid
Senior Level
$160K/yr - $239K/yr
5+ years expPayPal has been revolutionizing commerce globally for more than 25 years. The role of Manager, Data Science, Fraud Incidents involves leading data science projects to analyze and respond to fraud events, while mentoring a team and ensuring the integrity of data analytics. This position focuses on complex investigations and enhancing fraud analytics capabilities within the organization.
E-Commerce PlatformsFinTechMobile PaymentsTransaction Processing
Responsibilities
Lead and manage data science projects, ensuring timely delivery and alignment with business goals
Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives
Collaborate with cross-functional teams to understand data needs and provide actionable insights
Ensure data quality and integrity through regular audits and validation processes
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement
Lead a team of Fraud Incident Responders responsible for complex data analysis in support of fraud incident management and FIRM’s broader program, providing clear direction on priorities, methods, and quality standards
Act as a player-manager by personally owning the most complex or high-impact fraud incidents and regulatory reports, from scoping and data acquisition through analysis, insights, and communication of findings
Leverage data science and analytics to identify complex fraud patterns and their technical root causes through detailed data mining, enrichment, and correlation across large, multi‑source datasets
Connect data between platforms to track disparate fraud signals and develop a holistic view of fraud trends across PayPal’s products and adjacencies, translating technical findings into clear narratives and metrics for stakeholders
Provide rigorous quality assurance and technical leadership on BigQuery/SQL, Python, and other analytical tools and queries, uplifting code quality, performance, documentation, testing, and reproducibility across the team
Design and maintain reusable analytical assets (standard queries, parameterized notebooks, curated datasets, dashboards) and investigation templates that enable faster, more consistent, and higher‑quality fraud investigations
Drive programmatic initiatives that enhance FIRM’s fraud analytics capabilities, including improving data models and taxonomies, creating and refining KPIs/KRIs, and automating manual, error‑prone workflows
Partner closely with Incident Managers to align analytical outputs with incident narratives, root-cause analysis, and remediation plans, ensuring a consistent and data-driven view of incidents across the program
Collaborate with Legal, Regulatory Relations, Compliance, Audit, and other stakeholders to translate regulatory obligations into clear data and reporting requirements, ensuring that datasets and reports are accurate, complete, and auditable
Use innovation and outside-the-box thinking to create new analytical capabilities, methods, and processes—particularly for unstructured or exploratory problem spaces and emerging fraud trends and typologies
Develop and maintain strong cross-organization relationships, collaborating and communicating effectively with business, risk, engineering, and technology stakeholders across multiple geographies
Coach, mentor, and develop analysts through structured feedback, code reviews, technical training, and career development planning, building deep expertise in financially motivated cybercrime, incident analytics, and regulatory reporting
Prioritize and balance team capacity between urgent incident investigations and longer‑term program development initiatives, ensuring sustainable workload management and consistent delivery of high‑quality analytical outputs
Champion a culture of curiosity, continuous improvement, and operational excellence, incorporating lessons learned from incidents into playbooks, tooling, documentation, and training for the broader FIRM organization
Qualification
Required
5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
Familiarity with data-driven investigations and cyber-enabled financial crime
Proficiency in BigQuery/SQL
Practical expertise in data mining and database technologies
Ability to juggle numerous priorities under pressure
Strong cross-organization relationship development skills
Experience in coaching, mentoring, and developing analysts
Ability to prioritize and balance team capacity between urgent incident investigations and longer-term program development initiatives
Benefits
Flexible work environment
Employee shares options
Health and life insurance
Company
PayPal
PayPal is a financial service company that provides online payment solutions to its users worldwide.
10001+ employees
H1B Sponsorship
PayPal has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1144)
2024 (917)
2023 (775)
2022 (921)
2021 (1051)
2020 (1049)
Funding
Current Stage
Public CompanyTotal Funding
$12.17BKey Investors
Kohlberg Kravis Roberts & Co.Madison Dearborn Partners,VertexClearstone Venture Partners,Goldman Sachs
2025-11-17Post Ipo Debt· $6.95B
2023-06-07Post Ipo Debt· $5B
2015-07-20IPO
Leadership Team
Alex Chriss
President & CEO
Simon Bladon
PayPal UK CEO
Recent News
Crowdfund Insider
2026-02-08
2026-02-07
Company data provided by crunchbase