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-
- Master’s degree with 4+ year professional experience.
- Bachelor degree with 4+ 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,Python BigQuery, , 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.
- A/B Testing
you need to know about the role-
This role offers a unique opportunity to innovate and improve PayPal’s fraud prevention and detection technologies.