PayPal is seeking a Data Science Manager to lead efforts in fraud prevention for PayPal Credit products, ensuring safer user experiences and reducing fraud losses in the global ePayments and lending space.
Requirements
- Proficient in Python, R, SQL
- Proficient in Excel, Powerpoint & Word
- Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
- 8+ years proven credit or fraud risk analytics experience or equivalent
- Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis
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.
- Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products.
- Identify opportunities and gaps within current portfolio of PayPal’s Fraud Risk controls, including continuously evolving fraud trends.
- Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense, and loss exposure.
- Monitor performance of existing & new solutions and optimize to ensure desired results.
Other
- Must have good business judgment with demonstrated ability to think creatively and strategically
- Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently
- Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones
- Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis
- Aptitude and willingness to roll-up the sleeves and get involved in the details
