Experience with Python and SQL for data analysis, automation, and pipeline development (3 years);
Experience with Machine Learning models for predictive analytics (2 years);
Experience collaborating cross-functionally with fraud prevention, compliance, and partner teams to develop risk strategies, analytics dashboards, and post-transaction risk requirements for product initiatives (3 years);
Experience with PL/SQL for developing procedures targeting high-risk transaction identification and risk mitigation (2 years);
Experience with large-scale transaction data analysis to identify emerging fraud patterns and support chargeback/dispute resolution (2 years);
Experience with Fraud and Risk Management, including transaction monitoring, pattern analysis, and risk strategy development (3 years);
Experience with ETL processes, data cleaning, and data transformation for large-scale datasets (3 years);
Experience with U.S. financial market regulations and resolution frameworks (2 years);
Experience with network compliance requirements and card scheme regulations, including Visa and Mastercard operating rules (3 years);
Experience with data visualization platforms (2 years).
EOE, including disability/vets.
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range
San Jose, CA | Salary: $190,112.00-300,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Must be legally authorized to work in the U.S. without sponsorship.
Subsidiary
PayPal
Travel Percent
0
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For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.