- This role offers a unique opportunity to innovate and improve PayPal s fraud prevention and detection technologies
- Design, develop and maintain data-driven solutions for PayPal fraud risk management
- Make sound decisions that balance risk, user experience and financial performance
- Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business
- Develop and automate tracking functionality that monitors volume and solution efficacy
- Provide the appropriate framing of business problems, define project plans and work breakdowns, setting timelines and quality metrics for the project, and coordinating activities of cross-functional teams to deliver effective solutions
Your day to day
Apply advanced statistical techniques and algorithms on complex dataset to build statistical or financial models for prediction and driving actionable business insights for PayPal product or customer level fraud risk management
Mine data covering a wide range of information from user profile to transaction details to solve risk problems that involve classification, clustering, pattern analysis, sampling, simulations. Leverage data to conduct GFR business program and initiative analytics, monitoring, and reporting with scalable and flexible platform
Conduct a 360 fraud risk framework that covers risk lifecycle metrics and customer experience/engagement metrics for decisioning and drive cross team collaboration. Conduct on-going performance overview to senior leadership team
Carry out independent research and innovation in new content, ML and technological domains. Trouble shooting any data, system and flow challenges while maintaining flawless strategy execution
What do you need to bring-
B.Tech with 4+ years or Master s degree with 2+ year professional experience.
Data driven mindset with degree in a quantitative discipline such as Computer Science, Statistics, Mathematics.
Proven experience in employing mathematical, statistical and data mining methods on real world problems
Proficient in data mining and familiar with SQL, BigQuery, SAS, Python, etc.
Must be an intuitive, organized analytical thinker, with the ability to drive analysis end to end
Industry experience in payments, e-commerce, or financial services is a plus.
Exceptional written and verbal communication skills to influence cross-functional teams.
