PayPal is looking to solve the problem of preventing and mitigating fraud risk for merchant lending products, keeping fraudsters away from PayPal Credit products, and creating safer experiences for users.
Requirements
- Proficient in Python, R, SQL
- Proficient in Excel, Powerpoint & Word
- 3+ years proven credit or fraud risk analytics experience or equivalent
- Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
- Strong written, oral, and interpersonal skills
- Aptitude and willingness to roll-up the sleeves and get involved in the details
- Must have good business judgment with demonstrated ability to think creatively and strategically
Responsibilities
- Lead the development and implementation of advanced data science models.
- Collaborate with stakeholders to understand requirements.
- Drive best practices in data science.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
- Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products
Other
- 3+ years relevant experience
- Bachelor’s degree or higher
- 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
- Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis
