PayPal is looking to solve the problem of fraud risk management for the Large Enterprise (LE) portfolio, supporting business growth across the world with a key focus on the US and EU.
Requirements
- Strong analytical skills with hands on experience on predictive modeling, data mining, as well as analyzing large, multi-dimensional data sets
- Fluent in SQL/ R / Python/ Notebooks/ Teradata or other relational database languages
- Experience with one or multiple following will be highly desirable: Jupyter, Hadoop/Hive, BigQuery
- Experience in Advanced Analytics and Machine learning is a big plus
- Proven track record of driving results in a fast-paced and constantly changing environment
- Polished communication and influence skills to collaborate with cross functional teams
- Must handle multiple priorities with a strong attention to detail and should possess strong analytic and problem solving skills
Responsibilities
- Design, develop and maintain data driven solutions for LE risk management.
- Develop and automate tracking functionality that monitors volume and solution efficacy
- Partner with Product and Business Unit organization to meet Product launch roadmap deadlines as well as rising roadblocks
- Presentation to senior management within Risk and Business Unit, even external Partners on core strategy changes, integration requirement or risk management best practice
- Managing conversion rate, loss target and customer experience
- Create/implement/automate risk rules and strategies
- Communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets
Other
- Bachelor’s Degree or above in one of the following: economics, computer science, engineering, statistics, etc.
- 5 years or plus working experience in Fintech/Payment industry/Risk Management/ consultancy
- Excellent written, verbal, and presentation skills
- Can-do attitude, energetic personality, ability to work well under pressure in a fast-paced environment to meet deadlines
- Travel Percent: 0-
